graphsnapshot #7842
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graphsnapshot #7842
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GraphSnapShot is a framework for caching local structure for fast and efficient graph learning. It can achieve fast storage, retrieval and computation for graph learning at large scale. It can quickly store and update the local topology of graph structure, just like take snapshots of the graphs. Motivation: dmlc#7841 Paper: https://arxiv.org/abs/2406.17918 Code implementation: https://github.com/NoakLiu/GraphSnapShot DGL acceleration module: https://github.com/NoakLiu/GraphSnapShot/tree/main/examples/dgl/dgl_cache_struct DGL test module: https://github.com/NoakLiu/GraphSnapShot/tree/main/examples/dgl/acceleration_tests_dgl
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GraphSnapShot is a framework for caching local structure for fast and efficient graph learning. It can achieve fast storage, retrieval and computation for graph learning at large scale. It can quickly store and update the local topology of graph structure, just like take snapshots of the graphs.
Motivation: #7841
Paper: https://arxiv.org/abs/2406.17918
Code implementation: https://github.com/NoakLiu/GraphSnapShot
DGL acceleration module: https://github.com/NoakLiu/GraphSnapShot/tree/main/examples/dgl/dgl_cache_struct
DGL test module: https://github.com/NoakLiu/GraphSnapShot/tree/main/examples/dgl/acceleration_tests_dgl