dgl/__init__.py,sha256=Jc8CKqTIKNGQvaj2eMWSMiZ8SzHPYUMpV-bomdZ_JHo,1635
dgl/_api_internal.py,sha256=Tyg95icCBxd718nz5rYx4mRB0_sj2PsL4B5GRfD_Bt4,35
dgl/_sparse_ops.py,sha256=QcUxGFptmKAUFNDjcyTekb1cjO1-eQwJbUoE7RlOwkw,32827
dgl/base.py,sha256=qZoCrT2SdG_cop-6-hx4r0PE2yU6t2oLhcpzmwepNjQ,1608
dgl/batch.py,sha256=S6TfrO9N-9T2TEc0hK-uUNcznA6UgmQjEo6mHM7ryF0,18719
dgl/container.py,sha256=rnyUzhjn5DmJaj1GVMziVBk-GKHUeCMltwa3KUraMzE,2993
dgl/convert.py,sha256=mt2erqtlzY6Uq6J06n4N_ZQovHCp7QZzPh_QJHOoBB0,80695
dgl/core.py,sha256=FqQM9pSfUYlxhv0jzyMe8RTaZNmyaBSStXYACOMUH64,14371
dgl/frame.py,sha256=IPcTEeMI8hWAyy_UR7cl7qyTcSHN1Ik7ZaXQOn8nKL8,33811
dgl/generators.py,sha256=fAfRbaNwtJXxlfZFUxvUgy0IlQHpPD5KO0y3fRvz2L4,4264
dgl/global_config.py,sha256=HjsjJ0QcNOqxde7tfx2PB8Keo-il8UcVNKDtRVTxpHU,813
dgl/graph_index.py,sha256=3RyEBPYhuCcGl1agPF1SOyGMw63epMj9zwhbFV3Xltw,38125
dgl/heterograph.py,sha256=dRCXwiL4b4jseg7ZCO5ZFKVgKprX1a6fK6gqQV6DRz4,244978
dgl/heterograph_index.py,sha256=TgTJswl4kJ7jHgau7S68lK09kPc4sfUy7eB6E0X01yE,48047
dgl/homophily.py,sha256=DuMlBXb5oFigFaYN0CXpmi_4IpLHIj0Fj3zRqwpogwM,8309
dgl/init.py,sha256=3WIDzQ70_irbVOZrNyJ1CZi6eQf4lJgW_WFK7rQA1rg,1823
dgl/label_informativeness.py,sha256=0DkfOovT5K4VXYP3x-W_7Xj0FIq5iW9WFzi2X9Di_1I,8245
dgl/libdgl.so,sha256=D0JVWkqCxwwnVO-07tNbvULVEfAcClCquRi3dBOsjvM,9060864
dgl/logging.py,sha256=BclCEBQU70kUSI323CdxoQQO4F3Vq7tZ-sH94E0vkWs,863
dgl/merge.py,sha256=-vfMvedO8DEKzx-pOqu55EPMvPzadPfcmF6lQwqILAY,3741
dgl/ndarray.py,sha256=64p09Pd0bhD2o8ul__Yk7x2kChzGtTxcXUF9La_Vfu0,7842
dgl/partition.py,sha256=8Y_g8iQoGfljjVxrzfcLGxqhH3Kd8lNUa4hah0uKtfw,24432
dgl/propagate.py,sha256=cFlfIZ7xjSwUOJaNyjLfu-Rt0X-1RSWwyevteccuCCQ,5788
dgl/random.py,sha256=IK0PZNn6d-v-UoUbAjr0sBhDape7Rn717cDZERD_gNE,2725
dgl/readout.py,sha256=DOYM6E65PWRPyHLAeSt7dxfLcwO0h9WzeyPP8xemLc4,29015
dgl/subgraph.py,sha256=QR5cQAcxIRx1WLEpNS4Zv4RBrvTEafwUzW5-7puY2wQ,45412
dgl/traversal.py,sha256=iImvKRh3Nr095CthzqqHnhaaXEalvlJVF3_bbkZ-19Q,10086
dgl/udf.py,sha256=UwbpDvuDz52oc3O-x7iN2lhh9ch4QAjdvd_cZwkOQqw,12633
dgl/view.py,sha256=5q87aGbgdGuLpuKNXjaY3vuBrDnmAxRQtOuAR9cUndM,8741
dgl/_ffi/__init__.py,sha256=iL6be84mN7ugukvO__rYZ6QYpATtkgV4NvABp5vJ-bE,350
dgl/_ffi/base.py,sha256=VftA03rs-vmwnvaGAxgkAHC4eEVPQ-ckTAZaL6o5GhM,3982
dgl/_ffi/capi.py,sha256=H08pVFffvbXS9Z-7TTo-5noabvRa4eBe113-f6xDIxQ,123
dgl/_ffi/function.py,sha256=0Ns2azgMPHDCsGwM0zEQ991iYMYYS5UXoN51IbaR2hU,9350
dgl/_ffi/libinfo.py,sha256=8KUNxj0jTwRvIikoBo5aIznrjaeU1kvWwp7CDuZyBqY,3239
dgl/_ffi/ndarray.py,sha256=GxEwtk8ubiwgxyrk-nZjT0nlvwAjWOIKXZN7wywCb-Q,12436
dgl/_ffi/object.py,sha256=jz-JoiZoyvaqpFIcVCazgg2UufcMjghOi3hE6paENx4,3750
dgl/_ffi/object_generic.py,sha256=DQmUnAmBBSt3ZD2hS3yGoPrLE8QlgpPvaP-8Spa1iCU,1622
dgl/_ffi/runtime_ctypes.py,sha256=nVnV0KnhqBo7Jiz0fKE8oyb3-tWxHWhtLSkD7dV6W-I,7313
dgl/_ffi/streams.py,sha256=CNjS2p5J6sKRcdSrQ1YzBHdAtTxzyCz3EuZU9NaFPU8,1126
dgl/_ffi/_ctypes/__init__.py,sha256=MaHmc-jEIpozRSG9f8NDZ85apbg69a1Zx2jfYSKA3iE,44
dgl/_ffi/_ctypes/function.py,sha256=CoTY02J-IM6--RqlWLrVymWWjr456NQR1J4lNyOJ0kY,9417
dgl/_ffi/_ctypes/ndarray.py,sha256=LZVuer5MPNDn_cGSO4Qw5yraXg9QY4DVMDRdAgjuwcg,4229
dgl/_ffi/_ctypes/object.py,sha256=PJ8FDOTOE-ooIr3fUMLHxL0D3ZNJBvWE9L8YnRvN8WA,3153
dgl/_ffi/_ctypes/types.py,sha256=ePo7LzfvbBdTv-0FL-tYH9KwVPx54q9cOMdD1QrV2vw,2338
dgl/_ffi/_cy2/__init__.py,sha256=bRydCazovWKmvE9pMp-ePEAOrowmCimHmwi_06d3kg0,24
dgl/_ffi/_cy3/core.cpython-311-aarch64-linux-gnu.so,sha256=nYIx81lkZHDbVnT1VcuZ1nwQkNUFZy7fI1nChy_FRKs,1313088
dgl/_ffi/_cython/core.cpp,sha256=iLx_dmAEU8vVXKcitgLXO2ZmlMowGABmHqh4rdHyoG4,587048
dgl/ascend/__init__.py,sha256=Uk6wYVMVfgghvYgF6I7cEjVKsBwhhxYfIp6E0cDc3vk,119
dgl/ascend/hccl.py,sha256=h5gFiwS01gy2IyqxaiouIebutXQQoLA5WWvrd6v6-dE,8462
dgl/backend/__init__.py,sha256=L3qblGTEGsiqN86bNqbv-PbCft6Yl0o9e_Xq85-A2X8,4465
dgl/backend/backend.py,sha256=Gxl1SeEasWQvJWfLEi3AjUg2QUl1krDwVU97g-YS3e0,47280
dgl/backend/set_default_backend.py,sha256=6LwrrEn9vS7oMJEgevR-1mRYAkuT5hAGGSzrMQVIhQM,1063
dgl/backend/mxnet/__init__.py,sha256=yntGFDU84B6paQMWUDsTrjL_ombpL1QaUGYClRmxseY,44
dgl/backend/mxnet/sparse.py,sha256=CKa-wo5zKo3LClbtZsuZw_RAYwwV061RGOsLOHE2Z_U,17803
dgl/backend/mxnet/sparse_optim.py,sha256=ZhVtIPD3xr9jgv5wQfzMrT9fyqxQmK3Y5ZL76AlxFHI,50
dgl/backend/mxnet/tensor.py,sha256=UEDHimnvXRf47rpniKcBRFBTK5XZDkc3p8hCi5MeAqI,13279
dgl/backend/pytorch/__init__.py,sha256=yntGFDU84B6paQMWUDsTrjL_ombpL1QaUGYClRmxseY,44
dgl/backend/pytorch/sparse.py,sha256=AWv0ZtUhHv_PKTxsVxB7ysPH53CpFINi4C2R-M7crAc,41186
dgl/backend/pytorch/tensor.py,sha256=9o7p_8PUtKzSsqFLtUb_kxYAtKnxPVPn24VBA7PVN9w,13089
dgl/backend/tensorflow/__init__.py,sha256=4VEZgXoof_BiAR1IATE52uMbrL5KT8qC3UU_kxmFdVU,105
dgl/backend/tensorflow/sparse.py,sha256=GSqqmM-8cYovFAbubJyULFMvdq3tVBaP97zDpxiru_A,13781
dgl/backend/tensorflow/sparse_optim.py,sha256=4hAXfbQqWMvsY8Q5IYIfTYyUxLHQ2XZxqWg-vxvlY-E,55
dgl/backend/tensorflow/tensor.py,sha256=ssFS4GJvFjgOn6VDVGTidyRwJQo_kQe2Y36v6wZi_6s,14521
dgl/cuda/__init__.py,sha256=akSfECXtWGn26Z7tyw5rWvRAVa4SQSH75PH470EUK_Y,150
dgl/cuda/gpu_cache.py,sha256=6Ilb-gIwts9yHKvwCC4atxu6FAFWaz5a0NlzHF5wXjg,2854
dgl/cuda/nccl.py,sha256=ASYiVt_OHON-k1M48o9RBGIZMWL3gj0H9YXVL-42_8w,6801
dgl/data/__init__.py,sha256=yJFrO9tV_kHAjrVee456axK6akEKqt3Gx-FRaMp7QXU,3352
dgl/data/actor.py,sha256=MdKp0f2-5UAQ3X2HwGfHmDAYRSVot-qT12IkwFFElKg,4514
dgl/data/adapter.py,sha256=mE6UYBtcLgg22F9ypWglKhsBeMqd_l0juFsZbyAy8PM,23880
dgl/data/bitcoinotc.py,sha256=uz6WR98CtlZUjwVq2U0-cH8uPZDw6Z_8JGCd8T-L84U,5620
dgl/data/citation_graph.py,sha256=KAt734samWfypPI4PJXxCFwfE4LZMQ8LjD-w9i3BAxQ,28691
dgl/data/cluster.py,sha256=AssweTYS4e_J76d8raBHeHEIAAUY6I_eSajKRp4RlU0,3836
dgl/data/csv_dataset.py,sha256=e_JZNdqcvo251xffDzRZXVNi9Dm9SuS6BvlhdrrRKPs,7733
dgl/data/csv_dataset_base.py,sha256=cXVuMRhqDHkALFV1zjUMsz-MyRhyKl3_VIv2D9PWmh0,14050
dgl/data/dgl_dataset.py,sha256=qadlkNKsF3rG9TAE5tGm881nOOOK32Xcd3kMQG8liu4,10494
dgl/data/fakenews.py,sha256=4bSfDy-TWwtTlIKSSrFeJEAP4ZEiXY11wYmhaKwlvEg,7892
dgl/data/flickr.py,sha256=24yxZtIZ5MlyrqtknC_8N71s0qJ6e8FXGbBkIio_Lzw,5280
dgl/data/fraud.py,sha256=kpyvHh2kzGvR8tUGIj2lsaGU1a3sCW8YOF75eZxRSBQ,13482
dgl/data/gdelt.py,sha256=3EJjW9aZGZDgBzltCY3rhFhNPQkXVmq7uPyiNIKNwPM,5743
dgl/data/geom_gcn.py,sha256=TCWfT7suQmN4NXUmaCVUSj-OB-hD1ZfrvqL51fl_QZU,14477
dgl/data/gindt.py,sha256=r4vFo7d2JvAy-XVgVhhVzHEbMfzXkxK8JQpNzJH91wI,14315
dgl/data/gnn_benchmark.py,sha256=D-D9sqCxoLBwisBF0tEI0YqGhVf_P6ip252xQh6pqmo,16582
dgl/data/graph_serialize.py,sha256=f_MdTjd2BFFZEuhL1_u5o2DqN_OO-GYx7HQCs4tuX7U,8936
dgl/data/heterograph_serialize.py,sha256=HiTkGJAOqjmtvb-A5AEXg6xvAsj22KYFYyS4wzQbXsE,2844
dgl/data/heterophilous_graphs.py,sha256=d1e7f9MXgIWC3zNROO5VWjnYHoSTEfXeG_TYLJ-I6pY,15166
dgl/data/icews18.py,sha256=mE7E1HMjPYAT6TcfBV5DNP9I2otBjyU0KIfQTCNqL4k,4962
dgl/data/karate.py,sha256=j9IHzsM6oDophrAb-sYt0l66L9TU9jj5wN5razXqdwM,2624
dgl/data/knowledge_graph.py,sha256=SeFiSo3MgJnR5tgrUTJRcBrOvrnzOq3q9GVh4OZULHk,24132
dgl/data/lrgb.py,sha256=VH8RsQTtGhQBipLQsl4KMsEi0bHFngmrFFS-flf9GXs,36431
dgl/data/minigc.py,sha256=PaFAriMJZzVHZY4aI_5g_3TmY0Y7YISTUnObRlAdias,7509
dgl/data/movielens.py,sha256=5UVtOkzOySXxiRRBQXdJHRJWadsCjGBdXjRHog1uhI0,22787
dgl/data/pattern.py,sha256=7n4OPjp2_rkNmLs54y3sr49q5X_AODOeWLAjYs0UuEQ,3952
dgl/data/ppi.py,sha256=cbEWrVZOhJN15Lj62XJWeMQkmYLKrLN-08y2EOlZ_28,6374
dgl/data/qm7b.py,sha256=H4E8keAEHTGQssn3DJrQ5c2oA5rMinH-00lvKY5fYGs,5025
dgl/data/qm9.py,sha256=oXvesuad6-bH7xkqc1fs_wj3ErvbfSae1rUx_uoqRMc,10792
dgl/data/qm9_edge.py,sha256=fNYXt-l5FpQVQmk9DE1oj6MUzVUyeIKYzXUSjI1VK-k,14442
dgl/data/rdf.py,sha256=p0hRz1lNZqr9-apCRkx7XI6t3F74JMmuY9QvS4iRcH0,36099
dgl/data/reddit.py,sha256=QJJPZBRwgEfxsn5uuRmit8MERBpl5MHZXCx6jrBObnk,7109
dgl/data/sbm.py,sha256=66P0KU4rWbSXAA3KQo_Z7d4TeZF0dP0UvweBAvC5ASM,8508
dgl/data/superpixel.py,sha256=Gjg-ICIui5epsZIT5sO_4bQWRICj8lEX5XQS10zIkos,13298
dgl/data/synthetic.py,sha256=tuKuNoDwAzJIHMc96ALs1hM8s-PlgK5c3iPwZb588_g,27587
dgl/data/tensor_serialize.py,sha256=cuoCLUeXJlIyoRZ4347tfqQ-Xj4l3QcnKt3_QbbDw90,1883
dgl/data/tree.py,sha256=qtlQ549QfCVda6FkTcWb7g4wcJgc-lB130aNO_gNvx8,9293
dgl/data/tu.py,sha256=bupRCUN16-9BILMLfF0jNPz6OaA_yuPHsUYsUdKt_rk,18213
dgl/data/utils.py,sha256=0_iH_xThXZx4QrNuPSVDbtTb-7fx46WdLtHMRWpi3js,22314
dgl/data/wikics.py,sha256=LiB71UpG5gNYYZHcezWcDFx4RNOimF3mRc9OBi0O8QM,5893
dgl/data/yelp.py,sha256=nPLQ_18XKCVPmuNw7ejYmKVCFBO5hlqUg0EeYTyjAQI,5227
dgl/data/zinc.py,sha256=BZNGCpkoqnMV7quDLP6x9GQY8jhH7YWpF0brhdHjPGc,3695
dgl/dataloading/__init__.py,sha256=7X4ZROabLhY60pwgQcaWrixg53klUIZz1Wob-Xi0RqA,365
dgl/dataloading/base.py,sha256=IihO1RKAkJtmpc4lIL6RNh1y1Q-Z6wXGXNN6-N2RrrY,24179
dgl/dataloading/capped_neighbor_sampler.py,sha256=QA8vUf7bOa14Nz8x9keQsejZ6nz7G9hOTZU_sKB1YXM,6808
dgl/dataloading/cluster_gcn.py,sha256=ysoFAjyiOHLtcjr2WzyJ0KzVIaMM1BIqX6VGPXZT9go,5741
dgl/dataloading/dataloader.py,sha256=MtpH91UkeNt6z3i3cBiO4YfogiQ42YLN5yNLAcBqL80,59397
dgl/dataloading/graphsaint.py,sha256=9c6ezyPlg-6lmE6JQIeYW5NvsphYJyQTdomhc4xYvWA,5955
dgl/dataloading/labor_sampler.py,sha256=2N6dHP0Yr9w6TagBbIGdO_Q-wg9tVNVwmLe1e9-JgEg,11316
dgl/dataloading/negative_sampler.py,sha256=cNnOgq1JCLwN6MRV4rXmqf2hrx3xbLKACtd7xC3eoXc,4347
dgl/dataloading/neighbor_sampler.py,sha256=BNAB0wnJAkn-ABNuRzCmnZ9cVjs_O7Qfh8jV7hPmtE0,9996
dgl/dataloading/shadow.py,sha256=F5WdJlXNrWsfD7ml7QvRFylNPJxWWkKA1vd4erHQMDw,5215
dgl/dataloading/spot_target.py,sha256=go411we_IhyRaj0fW0pGdgXHwH63nKtugtt05qIkVCg,3542
dgl/dgl_sparse/libdgl_sparse_pytorch_2.7.1.so,sha256=IbPZYwi8sSx5bwJ6esZDTZP5k0VT1UweYqkFcp28SII,1002128
dgl/distgnn/__init__.py,sha256=Yukew-kUsyrTMjXNDurnBWJ29MJlZ8St1zFgg7Oodck,111
dgl/distgnn/partition/__init__.py,sha256=ljHPZ96L2H_plSixPs3S3SBVyRy40cyoI3ZOKrh9Y_M,100
dgl/distgnn/partition/libra_partition.py,sha256=udCm4coWNeW-Mo2HwtbhPVA3HuwojPseeEafkm-qSfM,11682
dgl/distgnn/tools/__init__.py,sha256=xgtKqy5w-Fq9foaXz2Op9r1plnaHSD8e9he-M5n03_c,114
dgl/distgnn/tools/tools.py,sha256=Vl_BE2814gAqS95EtboMmmULlMs90tXW5-GYxtyg1OA,4252
dgl/distributed/__init__.py,sha256=Jxvq6HB6QyrT5RMsGkADwrRuLnBvrSWVLNw17VKYxMI,855
dgl/distributed/constants.py,sha256=RVQbj7795AjjpsDEjSRTKjcLQi-msTCQCgD9dAOVKPk,287
dgl/distributed/dist_context.py,sha256=PyYxh2ZA_YeLDQk66LPyGj6u-tbNatsI6RvubX9JLHg,12936
dgl/distributed/dist_dataloader.py,sha256=YXrAErfhxlGOPPVf4lczPfzzgpMB0H9yRReMadJ-V18,34636
dgl/distributed/dist_graph.py,sha256=miW3wiXUQ3mF7i4gLTvUBPMGF9jC3jQvjqQjKaVcKAk,72464
dgl/distributed/dist_tensor.py,sha256=KRwmsRn2cl28g3zt2Ilo9t5vjT0iL3KWgtPURi-7wRw,11972
dgl/distributed/graph_partition_book.py,sha256=a3b8hZ5wGTf8sENbWP8AXd2NEWm7dwdIVMlivGmH7_0,40122
dgl/distributed/graph_services.py,sha256=itAUQqBCchlvmFlwXg4ebM0PMxpfMPynYhqqckLzRhM,45535
dgl/distributed/id_map.py,sha256=3Lar8wZEUSKo2IKkqff9CJNyGpP7yMUmRXMgKLTVEaE,7163
dgl/distributed/kvstore.py,sha256=GJ9DaiaP55xpGCCqM2VRMmfTSiLnhKfNjc5P-eZJpt4,50553
dgl/distributed/partition.py,sha256=Tmkh8-NBqjbH7YAwpgqZo3bEmO0YYe2jGu1xuBKHv2A,78680
dgl/distributed/role.py,sha256=m_sg9Rd3CQJMA3BAhpeFqhvvpzuybSsGBPiWz4m4lFQ,7175
dgl/distributed/rpc.py,sha256=eQPAGDfNn4-28a2X7T3UvJqhNOmCnMXDD_7TzyBDKTE,37523
dgl/distributed/rpc_client.py,sha256=0pmucgW3Nm4EBz_SO4SwM5alwYadog1_C0jaQH2d8i4,7248
dgl/distributed/rpc_server.py,sha256=P60woAyBukgONzFKn_3q4i5KJxgGcEzdFYXipsjEU4I,5698
dgl/distributed/server_state.py,sha256=Mq-GNKuxNzDDp23YzlUnKxLF_zDH0dVJqFgxljLsNhI,2518
dgl/distributed/shared_mem_utils.py,sha256=Bej3WLIk3y1elbKh4ywszDEzA_aw5vez_uWDp4j6yR0,740
dgl/distributed/standalone_kvstore.py,sha256=ru45e8SsWLEZFNUej2xCRHjvg9XdiQUUR0dQYaMm7SM,3859
dgl/distributed/nn/__init__.py,sha256=FMoPQhIaBVjGKsvlYg9dETnGZJmT80eTXQlGv5_NRrg,377
dgl/distributed/nn/mxnet/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
dgl/distributed/nn/pytorch/__init__.py,sha256=XliuTeHOC8Siukpk4RUvIBftbzOQ75RmnL-j6fc4DX0,90
dgl/distributed/nn/pytorch/sparse_emb.py,sha256=wS7e0Ub--b28LPma49hryi5dv8bnypJcpB01zS11CrU,6580
dgl/distributed/nn/tensorflow/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
dgl/distributed/optim/__init__.py,sha256=FMoPQhIaBVjGKsvlYg9dETnGZJmT80eTXQlGv5_NRrg,377
dgl/distributed/optim/mxnet/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
dgl/distributed/optim/pytorch/__init__.py,sha256=0hn211h0ukzkvENplX_rzN9scpUe6231yRePHMqLrpw,104
dgl/distributed/optim/pytorch/sparse_optim.py,sha256=hPSZN5ocvVQuJ4d0T0OfGv95BzWoyWtyYOVVedifhLc,28910
dgl/distributed/optim/pytorch/utils.py,sha256=OUnxwPC0Ykq5hBIFEk2EfvZebQGt9iEhIsdd9lPVnWc,3681
dgl/distributed/optim/tensorflow/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
dgl/function/__init__.py,sha256=xs2LkCicZXKiZNrmp0ghMDjW4bHGatsiky_azz5PzvA,169
dgl/function/base.py,sha256=DGAqGNwo6xHTMLTG147zKf-j9tOncIv0HVEKCDMDVVw,604
dgl/function/message.py,sha256=DyV55Nv985lMyoIf2F9X4BEvjwZk8-o12eSHXaXPqCw,4968
dgl/function/reducer.py,sha256=0W6huubE8Yf6dX07X2_PfUpm9CXPGGpCOq7w1y16YB8,1983
dgl/geometry/__init__.py,sha256=I2YinqcKTehf4y7cXCOtCHT6gp-AOfoNE6hXanu6SIk,329
dgl/geometry/capi.py,sha256=TzGDZIpMjhqxEl-K4C02XvEl07O-Rhdib0EGVW5HEgo,3930
dgl/geometry/edge_coarsening.py,sha256=aUcTyRx0uq_-diK35uoeA22dCA8KYn4-MHcSyOJElME,2294
dgl/geometry/fps.py,sha256=T3tcxjy3GtEAV5TahAjo4ob0suHqtkCRAeoy3G7SyVQ,2162
dgl/graphbolt/__init__.py,sha256=OliMpDdkVKsDoX_sFz6QfQOoDx1VOzORY-isQnE0oqQ,4181
dgl/graphbolt/base.py,sha256=f7xmPNocCLWdM30FRnWyvPXS2_f9UNElzDii8kpLKgg,16274
dgl/graphbolt/dataloader.py,sha256=tDEdv5WI9RLvk5FluazC8IXCJPAFuud7XB9AsV2wnU8,7013
dgl/graphbolt/dataset.py,sha256=Jm9KIKK1odJmcb68SHPkiv_o5FmvnzwkB6Rrc8e-vvA,2751
dgl/graphbolt/external_utils.py,sha256=CsdLsqeaMEQlaSnLbuQRw0RsBzOHZWYoahnQWEqcTjI,5831
dgl/graphbolt/feature_fetcher.py,sha256=Yi3NMqPu6GhudTITQ32lJZoozn4m5shWyv7T20hVWjg,11434
dgl/graphbolt/feature_store.py,sha256=ZXa2aOZKtFd_SeO5md6MbRmpRzIWTer6VkXcCuvOiVI,10578
dgl/graphbolt/internal_utils.py,sha256=YMzjBwA-_A_nR_R1tizpbozgL2ZSpVIawEnntAZc_8w,12142
dgl/graphbolt/item_sampler.py,sha256=CaPPmwVzuRMjKbGue2DhbBrvavSaV3VSg6MJZydcYNg,24667
dgl/graphbolt/itemset.py,sha256=m3ZA2T7dG4osAH1YVHgk_lLjYccazXW3wWe0clFbTyc,16115
dgl/graphbolt/libgraphbolt_pytorch_2.7.1.so,sha256=nWE0Q5jwembJlPGM7EdszvaleRQWcsefHqsPx6o-Qzw,2890272
dgl/graphbolt/minibatch.py,sha256=KimqMawqX39gJ3SKxyLjYPKo7cTAo9uw8Hl586WqYOM,15590
dgl/graphbolt/minibatch_transformer.py,sha256=iur2YalWAb-myu573x8aoA5C62lKfY03LASK_O2uNfQ,1109
dgl/graphbolt/negative_sampler.py,sha256=qLr0BMctghQo0R9JZ6xhzLIFqsKZ2hMNgxmVvpstBv0,3292
dgl/graphbolt/sampled_subgraph.py,sha256=eR9r498wCvP1GOIZ17oYs4pvgjhrkj3SDh6tOPofTcQ,16693
dgl/graphbolt/sampling_graph.py,sha256=xQQU9d-BoY75ihLzOe0nQq05sriG0gii9YjtM5D8Lzo,2295
dgl/graphbolt/subgraph_sampler.py,sha256=ygco_DKJV78HO8FPrmrFjdnNWBTtuIQkRoQfFapoXjc,23648
dgl/graphbolt/datapipes/__init__.py,sha256=gah2rTGfXxTnbeZgKGDKwKWQFNEd2qC6xTn8y1OQ9vg,118
dgl/graphbolt/datapipes/utils.py,sha256=Y00Skknypr434v0ftnQChlYVIy8hZ81orFszbECpaeM,13450
dgl/graphbolt/datapipes/visualization.py,sha256=6iVoH37sLztTT_oZ2nuUWsMhmmY1U57wnUR-aueinXE,6399
dgl/graphbolt/impl/__init__.py,sha256=tvhK-Yo9KMesflEpIRyxtwB5oZhjjcM6U5WAsu7_Dn4,624
dgl/graphbolt/impl/basic_feature_store.py,sha256=vD6x-mMMUIMAUjyw7l71jxwuQBHviclDIFsQZ6GFUcs,1857
dgl/graphbolt/impl/cooperative_conv.py,sha256=-BjtXYlq0vg4RG8U--Kqhtfb6auwY11gEwP9mqeLkfw,4484
dgl/graphbolt/impl/cpu_cached_feature.py,sha256=IJW7byvIlVaUAmw3zNcOG300GrcJoeC7Eypj9w3ku8g,18103
dgl/graphbolt/impl/cpu_feature_cache.py,sha256=HdrGLjMQw0FDRxl4W-7uBfQv1quDNkEvQKYiKKpVLXE,6499
dgl/graphbolt/impl/fused_csc_sampling_graph.py,sha256=WIxY5-yGLBcNKVQcHR4KkXA_VKOYuDBvX8Har0hQcYk,73188
dgl/graphbolt/impl/gpu_cached_feature.py,sha256=SRpEbjW5ShliiqLs8QJlgpDyku5kEe2QtdU7YKT1s6I,9677
dgl/graphbolt/impl/gpu_feature_cache.py,sha256=05Lf7Jxf225MP91pJoFdjcWSmC_pbClKo5nHe0VFqjA,2816
dgl/graphbolt/impl/gpu_graph_cache.py,sha256=lSwcYpdqY7VMuIDvCswWLEHPINRfzjSbuFMzd5Qf7Gs,3766
dgl/graphbolt/impl/in_subgraph_sampler.py,sha256=XOr1LfX_7VH-1V4X1AVGo5KAZ544YWqJRui7m7DNtFs,2792
dgl/graphbolt/impl/legacy_dataset.py,sha256=8TiKVknAtnIVQKAwpen8sDLBqDqys1u4svSZfDhPjqQ,5829
dgl/graphbolt/impl/neighbor_sampler.py,sha256=fgwbuMAd9S0-c2E_Wcbd29ckCCTeVqpMHt1yCuK75bA,42990
dgl/graphbolt/impl/ondisk_dataset.py,sha256=f-gksfU_qd6HmwHaksJQuX9mpGiEvECo6rEr6aGyrQI,40318
dgl/graphbolt/impl/ondisk_metadata.py,sha256=EHxpSB_eMxkeFxam67ppLmNovrBP4yrbjg91WaOTkno,3500
dgl/graphbolt/impl/sampled_subgraph_impl.py,sha256=B4OozRJm4mYkBJzY08i3kOtKbF78F3ohRw2r9gZzxdo,4779
dgl/graphbolt/impl/temporal_neighbor_sampler.py,sha256=SsJaRR6xmxmj0haqQP3Fc4-G17bQDVqLzOG9lQydS7o,10830
dgl/graphbolt/impl/torch_based_feature_store.py,sha256=fytK9ufQYpMEKVZTKhJywZSCTXPeDv_D1l_WTzrJwIk,23826
dgl/graphbolt/impl/uniform_negative_sampler.py,sha256=EvuPY0UiqN42hZOkQxlkzpygiXUghXNm6wNzFtkuhu8,3161
dgl/graphbolt/internal/__init__.py,sha256=_qe2LnYk1H-zhRATh85gow4MVUG-4C790oyHNtgtr08,122
dgl/graphbolt/internal/item_sampler_utils.py,sha256=Hccav2gYc0nkst9bNtjpO0nFTz3EnHHdYxx29dawxs8,4512
dgl/graphbolt/internal/sample_utils.py,sha256=HNdDxSbCaTQzgVV28QkXKW7b0GVde-6kltbz05Vio1A,22957
dgl/graphbolt/internal/utils.py,sha256=fl5ktLe61FabmbLCCvbz_fgvLVNE1bmYtiBO8sKVHNg,7415
dgl/mpops/__init__.py,sha256=u6MiqduaNh_JRHN6CTlh27YiPAGWtSm0ya4yjuqYWrs,113
dgl/mpops/edgewise.py,sha256=98jDvrFV80YhmWnIvzSO31bfmOeyLracspsqivEKu9U,6596
dgl/mpops/fused.py,sha256=2pfy5U8BLXiO620JA2C6Txq6bvUwlf-5P7x8AUkxaD4,72
dgl/mpops/nodewise.py,sha256=sLVUYcWKTh2UpzZIJdz4sKV-1KoMP1eTme-VD0T6L-M,65
dgl/multiprocessing/__init__.py,sha256=jwz_9xHGx-kmaouSfkUUHnLB95UhV4-yOupfINCIRKg,714
dgl/multiprocessing/pytorch.py,sha256=dY3xxuerUbtpQFqg6xqbdHkhJlS7XBcKGDrti7UpaDI,3897
dgl/nn/__init__.py,sha256=PWJKN8E37MxL_eE8U88s8E1svsNiznGWJJ5d9CxUNEg,1362
dgl/nn/functional/__init__.py,sha256=ADpznPnlP-XJv-FivW52XaUU1vqY2N5gDjZleEVJH7Q,76
dgl/nn/mxnet/__init__.py,sha256=TWEIXb98rI1zwq9F5PW_OICflzMiimGxx2MAD2yTItw,160
dgl/nn/mxnet/glob.py,sha256=zPuoQQXjzmpnanPDgrk6XleGKAL00RPlxTvUZbfaW38,9195
dgl/nn/mxnet/hetero.py,sha256=LIy06eP2ah1Ymff96l9H_YzDTDOAnRDoOHtkSTk7gDA,9018
dgl/nn/mxnet/softmax.py,sha256=ZVeUfKO_DYk95CH7MGUvSDiG6_vj1xJTPwlyhLkvEs8,116
dgl/nn/mxnet/utils.py,sha256=MRO5_PI5GjOJTCWYMpZ9_usOdQMeugf3VkLKvX0Ncd4,7796
dgl/nn/mxnet/conv/__init__.py,sha256=t79HWLKEvEj26-E-Wvb5HfIn6gBlBM1hvueB40l1VuI,980
dgl/nn/mxnet/conv/agnnconv.py,sha256=IjEpvF7V7CreKwYm0xIc8YL-NMqRRsq-0GVHK27Bsmo,6229
dgl/nn/mxnet/conv/appnpconv.py,sha256=B5j-t0YEknh6aR439Vf5UipJcQnBd5DTzsH19AULJTc,3790
dgl/nn/mxnet/conv/chebconv.py,sha256=g5WMaHGe-o8upyN_7774P557tqKz7whv2RwuWWI2gJA,6064
dgl/nn/mxnet/conv/densechebconv.py,sha256=R9Dn5KQv4EaLXt25JumrbgOdMAmSi0BYSZU7XlS5c1I,3710
dgl/nn/mxnet/conv/densegraphconv.py,sha256=myLDjBwlpLSf3odrJCKTvMi_shoDc-1pjykJNhBjEIc,4710
dgl/nn/mxnet/conv/densesageconv.py,sha256=FnXHdUKLqt6PjdQt217FrfmH8IDrvv9Kd-4ceHR0eXM,3860
dgl/nn/mxnet/conv/edgeconv.py,sha256=bwB3iX4mbG1xWGIU-vebhtGwUPVbhPaq-c-JWRcarvI,7000
dgl/nn/mxnet/conv/gatconv.py,sha256=ZdGJv4GLnscz1Ultmc5Fq4agb5tY_r0ryyfbAmkbEzU,13914
dgl/nn/mxnet/conv/gatedgraphconv.py,sha256=hvdIodSaG_m2g2AlYFu6oBPXC2V6KTtFgfILXGxS2VE,5085
dgl/nn/mxnet/conv/ginconv.py,sha256=K9ENaWdWDgML_YKklWQmi4zQUf5_WkwvPWN2Cbbx8xY,4629
dgl/nn/mxnet/conv/gmmconv.py,sha256=fsrN3b6njWUDww2SKWFGkDQp5YeMDcveMbJwqB4gDB0,9940
dgl/nn/mxnet/conv/graphconv.py,sha256=otOZB8H7wgLIEQEgugFVGkyo9Wl890pv7s0vAeQgWUM,12170
dgl/nn/mxnet/conv/nnconv.py,sha256=CXORU_SKIQXeaOqGwX-0mXD6eyx_Kj53z4UqGyqSXAY,6302
dgl/nn/mxnet/conv/relgraphconv.py,sha256=rhPBy5dIIKwKO_caVx-X2WkCRKHG-GQgFCarHW2DEc8,9993
dgl/nn/mxnet/conv/sageconv.py,sha256=3FxWVeuW0MadMYc5flaawjX57Z6ZuYXaCfq0umiCAFs,8362
dgl/nn/mxnet/conv/sgconv.py,sha256=5uDzXzwwENKDgNaTZC2lGsyjlhVSzA-jEv0PiubBdCo,7057
dgl/nn/mxnet/conv/tagconv.py,sha256=HnxBsa--hCHZJt8M2Uwm8SEMZLo2XdRBJ3rHaz8-2Bo,4172
dgl/nn/pytorch/__init__.py,sha256=8a6jUH2Q9npFwseqWCz745NeD-yPbA2PbuA_Xggo6lE,382
dgl/nn/pytorch/factory.py,sha256=fh7UDw0hDEMXq0w2iv-Hq35kC_IUGOIxhrBAec3E4sE,14118
dgl/nn/pytorch/glob.py,sha256=03bqfyU7wEZOJXOnzrJo0gzq3ext_yXceWIJZlSGTiI,45484
dgl/nn/pytorch/hetero.py,sha256=bh-MGWOa3CKAaDgXtd91kgWaEz4sDHreIzJUTOg1NuA,14085
dgl/nn/pytorch/linear.py,sha256=UqOcuEhG8pLIq8UcIjg2i6ExPfyxy0OfMzE9CBWFzOY,7699
dgl/nn/pytorch/network_emb.py,sha256=xv5vmSsNVE1W7krFfQbHmlopR06XjU0RG44UAgY_fhg,15866
dgl/nn/pytorch/softmax.py,sha256=nOBQNrdrGyxPb9GuNatKRkof_FnRAIXPnRNwK06mab4,118
dgl/nn/pytorch/sparse_emb.py,sha256=7Qt9K6GHlpPtD1yicnbiUj-UD77m1RJbjPfRmWSV8zw,16366
dgl/nn/pytorch/utils.py,sha256=1Vse1RoAw6cA36kEx79JJ9N91j7gV_T9zCWIOFEEu84,18172
dgl/nn/pytorch/conv/__init__.py,sha256=dRViUy-ibyIrNtsA9i6JnRG6RKLD-ld3qSyehFatbaQ,2039
dgl/nn/pytorch/conv/agnnconv.py,sha256=eCDFdr2Pm6U063whXR55pdGitofIEYUIc37h008SNzU,6200
dgl/nn/pytorch/conv/appnpconv.py,sha256=ZvVnz8Kjdb-BBRVYGDNE5ZA9OsJ5vbZwbp3GgSqPPgo,4479
dgl/nn/pytorch/conv/atomicconv.py,sha256=hYFOeLJYddOo7d8ArseoSCZSTIvow8gPQmcz8IGp0gw,9941
dgl/nn/pytorch/conv/cfconv.py,sha256=ufzVd41g3Y8Q8bGmfaVZDrQu0P6R4w8SBzn2tTgMm8o,4894
dgl/nn/pytorch/conv/chebconv.py,sha256=veBnUleyFiYv0nLGKlOI5OciJwkGX3_Fk4VJTUWdmDU,5160
dgl/nn/pytorch/conv/cugraph_base.py,sha256=jWPvPyubg3R3vzQnSXmJnEkh1qt0PsuCLH_3P0LTjpI,2137
dgl/nn/pytorch/conv/cugraph_gatconv.py,sha256=LgNHhT0AgVfBXr3CgzvIlvyKpE45gAZJvRKZ7oDn8Lw,7067
dgl/nn/pytorch/conv/cugraph_relgraphconv.py,sha256=4rFmD9vy41v-UX2Adk_j-y3w6uqI6os4aFY-Y6424YQ,7824
dgl/nn/pytorch/conv/cugraph_sageconv.py,sha256=qGSHkbqUBmJxl1c8gmOx8Qnx4dYZZFzNxewGDnnTeDE,4949
dgl/nn/pytorch/conv/densechebconv.py,sha256=WzNjBFMOTHsqLdYG3XyG7giHM_62Q5HYsKIqzfFmZzc,4092
dgl/nn/pytorch/conv/densegraphconv.py,sha256=8HO5GSzApFEk8IKqjCN8pvdoaWcu-Pu7sIBdcjYn2uM,5171
dgl/nn/pytorch/conv/densesageconv.py,sha256=YkLUkffFQiCAWrr_ArYTc1eOerQCskCDCtbTX6_XKV8,4675
dgl/nn/pytorch/conv/dgnconv.py,sha256=lYMwTbBbdQJNij_d-4Y314BZQsiO9vbdTt59cJz3TFc,8979
dgl/nn/pytorch/conv/dotgatconv.py,sha256=u_xioyPzu7qPj5fkKZo-mBI61EYiIOlZyHwfHAWSySI,9439
dgl/nn/pytorch/conv/edgeconv.py,sha256=pwzeLAUm60JZqJjor77eaCfLinMh749XGn8AGnzzKGw,7799
dgl/nn/pytorch/conv/edgegatconv.py,sha256=gSIlP1sq3qXEdm3AwuAeo0NdPvCD3KH8sD9RlZQx2xA,15840
dgl/nn/pytorch/conv/egatconv.py,sha256=0ZThwKFWFY6c-pBwzC5YBjnLYbVl8tJZCIvAaZmsjyY,10332
dgl/nn/pytorch/conv/egnnconv.py,sha256=cIdfadsgGOz6T7Z3uSLXLDXXdkQBtS1Ck32gYLtQVAo,5726
dgl/nn/pytorch/conv/gatconv.py,sha256=xHTxtXcAChWZUS--0rztBAaYvD9138ZM5FJkaL5EtSk,15154
dgl/nn/pytorch/conv/gatedgcnconv.py,sha256=A86tRwkZGNnxrnS3Tk4W1Qo9EnDr7LnIJ0cR-gfucps,6140
dgl/nn/pytorch/conv/gatedgraphconv.py,sha256=grm_Fi1xnnG10wTVg3wd0mijcC_DDzik9GUNUaPhwr0,6229
dgl/nn/pytorch/conv/gatv2conv.py,sha256=Qtv2yWAny4xOLaCdBTw4Qx0b8q7WQLWaD2ex0G2PVPo,13273
dgl/nn/pytorch/conv/gcn2conv.py,sha256=-iUkJu_BhsnMU79-Oy9UygbMGA5z5uZcdtkW-Ps3imY,10659
dgl/nn/pytorch/conv/ginconv.py,sha256=N_RhfAzXSk88pLTCjEKIIl1UrzfDmFJpHnsiMTbmi8Q,6414
dgl/nn/pytorch/conv/gineconv.py,sha256=iTGqzWUlwWCQC7IIqnp70J6nEkJjY-SpRTjng8Q5V0o,3697
dgl/nn/pytorch/conv/gmmconv.py,sha256=V5Ik3T_lm55z3YsvOzAAT2LNAzVCHiKsyp2jBHNBe-Q,10102
dgl/nn/pytorch/conv/graphconv.py,sha256=XYTAR_aU_HMUfERqkvTaKYRzwd8PE__b__plop6UBGI,18520
dgl/nn/pytorch/conv/grouprevres.py,sha256=xonv_bVKeZy4OyO4qAIFzGv5xVWBgrk6hWEby4k4NuU,8646
dgl/nn/pytorch/conv/hgtconv.py,sha256=6dl0peROQGRX2swH6RmWN1sCishcUJN07OH-j3epr8g,7062
dgl/nn/pytorch/conv/nnconv.py,sha256=p_uuiuUHs4jld0Iid_royq_hMwOQEmtLlNNSbOzVv_M,6576
dgl/nn/pytorch/conv/pnaconv.py,sha256=Rrka2sPg7OXk2lRFl2N1ge0UKIXBwavW1DkR7jmcuTw,10689
dgl/nn/pytorch/conv/relgraphconv.py,sha256=xt6NNXWAaVM6PT9B7sSN-lLuEp5ofaMEoRIX88qru5k,6692
dgl/nn/pytorch/conv/sageconv.py,sha256=qPUnLnu2b1cTJm0l9UhtGc8_3SEH1rJyxQYM6KV6P1Q,11302
dgl/nn/pytorch/conv/sgconv.py,sha256=FPme2WRyfTO4TusNTz9YnnxOfSAhzA247QrEkM20FmI,8002
dgl/nn/pytorch/conv/tagconv.py,sha256=BdoU3Moedngw3lMz_vmXHypjoose8_8gEcNlR_C-PJM,4910
dgl/nn/pytorch/conv/twirlsconv.py,sha256=Ny-VH5AzQ-cFwj4UqHi5PWT0xLX8e7AmwCI_fZSCQN0,19654
dgl/nn/pytorch/explain/__init__.py,sha256=ZPIyXyh1SP5MP6Km6vHmRys_3yDZ-q-gg_vB89yX-oI,186
dgl/nn/pytorch/explain/gnnexplainer.py,sha256=GgTGCcNkbNqn1OcO61cesj1scibtsZi-s32Y2wfn8Fk,37449
dgl/nn/pytorch/explain/pgexplainer.py,sha256=hW5A6G4v7aoact8beCJrzlBtQj_5Kbw53xTgA-trWP4,42962
dgl/nn/pytorch/explain/subgraphx.py,sha256=WBbF3K0TbzH_RoMJFcIU1f1fHzvJZGx_QvbhqIojIBg,29586
dgl/nn/pytorch/gt/__init__.py,sha256=Ny1YsJFTVujVqaffyzh30dSYHeWs6FWYTtkpKp3x9d4,329
dgl/nn/pytorch/gt/biased_mha.py,sha256=B-aKgL_GzLLTRcSFRtMC9T9FtkhqekmPSYAV4_DuG8w,5381
dgl/nn/pytorch/gt/degree_encoder.py,sha256=DsvtF8qo4WATsGm0KXGtJm-O31YFU3rBIYB3qjI9Pis,3627
dgl/nn/pytorch/gt/egt.py,sha256=vwSb3neL0AWMwts67R7opBnXewfB--FwVjDKWB66iGo,6251
dgl/nn/pytorch/gt/graphormer.py,sha256=T_SoGOr_38erl_ltGENQpizwFkXHWjvFKNsmBAqthtQ,4191
dgl/nn/pytorch/gt/lap_pos_encoder.py,sha256=fnqv0BvV1BZ0uzTUf1g37mhshJ-IWcqUtMHFWQXFGt8,5454
dgl/nn/pytorch/gt/path_encoder.py,sha256=UHghPeDhAFzn_LW5Oh1nxo9KA-uWcmdEcaDVq1RC02A,3238
dgl/nn/pytorch/gt/spatial_encoder.py,sha256=cdqIpMmW3snVikrCpjXP5KjOaMe54b-bnlIyeGSuK5Q,8254
dgl/nn/pytorch/link/__init__.py,sha256=_xLVvu4HztYZVZm8jtLBuVMym8TV3xDvotP3xgO2Ivg,159
dgl/nn/pytorch/link/edgepred.py,sha256=iGp0p2rygMrLxlgV0WH9pUkEUyYiQY_8By0A4BhiBPA,4892
dgl/nn/pytorch/link/transe.py,sha256=gHu7m3RUD3y_oH-fCq3LaI5je9Im0ZJmatTN5r34YQQ,2801
dgl/nn/pytorch/link/transr.py,sha256=jCvrzzzEY9fLv-7gSTWbHf9y37IC0kq2-BkfLX1-QCU,3351
dgl/nn/tensorflow/__init__.py,sha256=bs3M6JD-b7SU0Qlo5OWBJWmpVcCJGsX-SoMXKW708Zs,156
dgl/nn/tensorflow/glob.py,sha256=gnKSUe5jHqqDDGg28H-bkDblY3Ls5wMBGkmuAB8Hp-k,7249
dgl/nn/tensorflow/hetero.py,sha256=wCwGNvz9Yl9q1WT3630lCycE0dRcIsquUbDS1MyD_-Y,8950
dgl/nn/tensorflow/softmax.py,sha256=WQ5uLkzohkGsl8dG_YqcVV6VxGwkCer0MIIslOeRu1Y,115
dgl/nn/tensorflow/utils.py,sha256=xfFvDQok797q5nntAWHTGNYiqO3IhjxGOy-wev2ZK6g,2463
dgl/nn/tensorflow/conv/__init__.py,sha256=PdCxv_VJn6WJHqSlHsWdXuVgN3PF7GlN8hImPIzaooA,348
dgl/nn/tensorflow/conv/appnpconv.py,sha256=Q5_ZEtjHvfN9lqJsxEkzkxz6Z8Px8o4zpIlFT4oqTUk,2473
dgl/nn/tensorflow/conv/chebconv.py,sha256=-pi0AI8i6hTD8Rj-UjycjkGG1kHdtaPl4tasWEjpEds,5476
dgl/nn/tensorflow/conv/densechebconv.py,sha256=bkW8fbhWJ8nc4q3v2NFsCjQ7cTWSkysbvumhmfQOQ10,3587
dgl/nn/tensorflow/conv/edgeconv.py,sha256=6kR8Cdcl417gAz0RNvUUyaTBiY4AsGQOju3WtK-BByc,5813
dgl/nn/tensorflow/conv/gatconv.py,sha256=v47lW7Gm3EDKNSOxtL6mvIsCOwNZ0W-HX6miwRk06AY,13481
dgl/nn/tensorflow/conv/ginconv.py,sha256=x8AyaMEHhE0kfXILxOaByVbjmH5oofhMknP2dil2K1g,4589
dgl/nn/tensorflow/conv/graphconv.py,sha256=G6NlhVP7fyb8Tt-eygc57cZLUgySwTYWDBTreHM9tlI,12433
dgl/nn/tensorflow/conv/relgraphconv.py,sha256=VK3Ust8-Sltw8NYR7F90w5tdu-KvW1I46i4JrZzueis,12307
dgl/nn/tensorflow/conv/sageconv.py,sha256=o0Arf-7mLAH9LAOdZe5mLUvofZ-sTRoO3V7pVrxmdGk,8389
dgl/nn/tensorflow/conv/sgconv.py,sha256=JYbmLtRZdf1KkSGu2RfEoL65dhq9BPHn7GK70d7ttlg,6955
dgl/ops/__init__.py,sha256=FZBR3NcwVmYPviYIXTpzb14dipXY3lIRd1V0C_7g0mQ,144
dgl/ops/edge_softmax.py,sha256=hVD2Aa9W5tBKkcfzyvbk5r4qB6fnTtwUNxRaTpsCWFs,5382
dgl/ops/gather_mm.py,sha256=0oygaGtTaP0dtS5qsRUFjuNlkYE2_CIArnteRlUmjgM,1430
dgl/ops/sddmm.py,sha256=Lt9kSXsxlbzMCOiLYzTPmpGKrZg1LAftoK-NI_d90Nk,6543
dgl/ops/segment.py,sha256=f7mGy5ZFeRouZLxx8__zDJuEEmB-rKiqSfFVbnU9Zlw,3938
dgl/ops/spmm.py,sha256=oqRnZsEuWjw5W7R4ou9JE9CkIYr9B6hQblRBrcknJr8,7709
dgl/optim/__init__.py,sha256=WUjRjV-eYbBjffHYid-ZLqaYiiVfB8-nAParLaq1414,363
dgl/optim/mxnet/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
dgl/optim/pytorch/__init__.py,sha256=XWpb4fjsIPGRZ0fZmDSD7eVrwr3Y7iH2LAplYQxFk_k,92
dgl/optim/pytorch/sparse_optim.py,sha256=Xf7yYj3ALApFywJ2DNVCEjFS5WHMUwtKdHQtPnBpAbY,40308
dgl/optim/tensorflow/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
dgl/sampling/__init__.py,sha256=lPWZZhTYi7VzaaVwBy5ntankyLjSNPI02RlKd1KNPNs,517
dgl/sampling/labor.py,sha256=S6cV362oMlAV_zhmOFsbvpnJZ6KMa-EIaJCXpJ_W_T4,14225
dgl/sampling/negative.py,sha256=n-cy-2-n7ym9S8iMT9IZOHRuNlCpVXiaCeHIvn3fv6c,4175
dgl/sampling/neighbor.py,sha256=7zXaIzxCFQNC8ZiKWJw0uQBaaFzk5wz1Z_q82lHhpBg,37478
dgl/sampling/node2vec_randomwalk.py,sha256=a4Lyrkyalb-BiJ8P345AdkwsJLi6BFyGZKNOalZfaq0,3338
dgl/sampling/pinsage.py,sha256=8oqjHTPJPMPVTO-_S3Rb7QU2NGiJ9iL69k4cppE84uY,10278
dgl/sampling/randomwalks.py,sha256=YCslfV5BbmUJC8aJvoFx1IncWrPJeAsPO4OQSZJRCTU,11619
dgl/sampling/utils.py,sha256=JGVcqQOIJDGmMq025GPmX0b2ctk4MS4nx4rrNExLQmc,4262
dgl/sparse/__init__.py,sha256=VELkbU-AQK7pGALZSHhvvu4zgKJCd1rQRUuSTdccku0,1261
dgl/sparse/broadcast.py,sha256=YaEMrBsXIHYePCmbb27bQ-Gh9Q8T7ScIlItIEOBOkwM,4244
dgl/sparse/elementwise_op.py,sha256=lV545-vhw7hZ4KWUTVUvSshjmYf_7yQFISFyZEv7nkQ,5539
dgl/sparse/elementwise_op_sp.py,sha256=uEEZbFfCWT1PjGYrdAE0g47QOdAWb536InfjpjUhBns,5836
dgl/sparse/matmul.py,sha256=zbyHtlTedVZnqVZJR1o0vGtPk0w3DTp7dVAGerwLMtI,6734
dgl/sparse/reduction.py,sha256=J_rD0qXkYUkWx-loE1rwQR1nGCDvgsPhUP5RUADDuFo,12018
dgl/sparse/sddmm.py,sha256=SDxAztJzmb1mhryir65C2qhsQNEnu7MH1Jgmkc6XA50,3306
dgl/sparse/softmax.py,sha256=C1s9pAC4IICA0IKS0ChD5o5T2b-o0JOKaVpqM1eJEg0,2480
dgl/sparse/sparse_matrix.py,sha256=4bPOC1zi7tzfW_awQXZ2sluGc7sOFOsl9QYj6VQAjI8,47861
dgl/sparse/unary_op.py,sha256=V8Z8kWEziiiaz4VVy_0STv-LY3hvM7AIO1AW3dwaAYg,1673
dgl/sparse/utils.py,sha256=2smIQ76xcTHHoGsc0eBGDSjlndGJLumNybWqZIaSF3c,305
dgl/storages/__init__.py,sha256=lOs1t2c9iwuNKaJnsvu4ZBuJ9qHNk6VInvcUUC4NlyI,327
dgl/storages/base.py,sha256=WIf0eBhN69e9OTF4ZNiPEUBdju55qHlJMzZzU2n4nLk,2538
dgl/storages/numpy.py,sha256=K4CaTZuLB5M6nX0-xEN-jicgG42eZR4pVbybMbUhpNo,826
dgl/storages/pytorch_tensor.py,sha256=20aJH-2qyWjVdlu7x2MI_s-JYIOUmHyI1025yMqgf84,2127
dgl/storages/tensor.py,sha256=1CQ-G-hsLAOKpYghurytGXhmo2Z8_eUJbbniG73qMTk,548
dgl/tensoradapter/pytorch/libtensoradapter_pytorch_2.7.1.so,sha256=05kH4hNMK4Dk5gbpdnjKi7wT6CgUy-4ikk0jYHbLV5Q,206768
dgl/transforms/__init__.py,sha256=-STsRDZ-Trh1Qt65nS5jycNFXL2CSd2wPkmpk6NZ59o,116
dgl/transforms/functional.py,sha256=cx2d3dqch8CQJtOFWdeE8PIGf45j3abFFAmTfD_XHTs,143516
dgl/transforms/module.py,sha256=edZzm9jOZ4ZKr3tTR_FWStcBuEEyEUFnKIglVb-w2Qo,67187
dgl/transforms/to_block.py,sha256=_A_ErUhZkW1Xb1zqUW4HTgJpV1Gpc9mFN2y47-po0ns,9180
dgl/utils/__init__.py,sha256=VBBPNl0JdnepIXTef718UYRizPlD7vbYdLMpCRY2cuI,383
dgl/utils/checks.py,sha256=Mi9FGCnqraxLjNTA0Ix7y2FVNySzIbaLyuG7rjE8K-8,8167
dgl/utils/data.py,sha256=xmfeMBcZV-Q74Qd6aTkRxHDddY0ndt81yUToL2Ii0OM,13480
dgl/utils/exception.py,sha256=gaOKdzLkFWib_LVZNIo9bOAsbreNwhfakv8QAKdDFM4,2582
dgl/utils/filter.py,sha256=CuOPgVp9vGVxuvSavbuoaVmhzNabGC0TibqTCZF9kVc,2163
dgl/utils/internal.py,sha256=1sTPWuXj8JaJsZSjsrDsR6nT5JtSoGo_li028vmZFLg,36858
dgl/utils/pin_memory.py,sha256=ue9mzGNzAKhd0ZGMJGwbg3yFfDovUwjz90bv_MnIysA,2293
dgl/utils/shared_mem.py,sha256=PIaeHOWz8i0Flzrq_QWkSx2AJBCNAxam-mRil1qU8ws,281
dgl_ascend-2.5.1.dist-info/METADATA,sha256=1Qt1-nk_7d5yZJRtFz40Gw-YBF3iQP1rNiTPMpzMO1M,1912
dgl_ascend-2.5.1.dist-info/WHEEL,sha256=XWUsklICdzFJzT2WEr9IGYejKOyYBXlQ5jQQcElnG_I,114
dgl_ascend-2.5.1.dist-info/top_level.txt,sha256=LqU3RnL9LDl-4PJKX4dxW4qIGHyHVZ4_vTxFKmyZqkE,4
dgl_ascend-2.5.1.dist-info/RECORD,,
