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公开(公告)号:US12248814B2
公开(公告)日:2025-03-11
申请号:US18453702
申请日:2023-08-22
Inventor: Myoungsoo Jung , Seungkwan Kang , Donghyun Gouk , Miryeong Kwon , Hyunkyu Choi , Junhyeok Jang
Abstract: Provided is an apparatus for accelerating graph neural network (GNN) pre-processing, the apparatus including a set-partitioning accelerator configured to sort each edge of an original graph stored in a coordinate list (COO) format by a node number, perform radix sorting based on a vertex identification (VID) to generate a COO array of a preset length, and perform uniform random sampling on some nodes of a given node array, a merger configured to merge the COO array of the preset length to generate one sorted COO array, a re-indexer configured to assign new consecutive VIDs respectively to the nodes selected through the uniform random sampling, and a compressed sparse row (CSR) converter configured to the edges sorted by the node number into a CSR format.
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公开(公告)号:US20240281645A1
公开(公告)日:2024-08-22
申请号:US18450497
申请日:2023-08-16
Inventor: Myoungsoo JUNG , Seungkwan Kang , Donghyun Gouk , Miryeong Kwon , Hyunkyu Choi , Junhyeok Jang
IPC: G06N3/0495
CPC classification number: G06N3/0495
Abstract: Provided is an apparatus for accelerating graph neural network (GNN) pre-processing, the apparatus including a conversion unit configured to convert an original graph in a coordinate list (COO) format into a graph in a compressed sparse row (CSR) format, a sub-graph generation unit configured to generate a sub-graph with a reduced degree of the graph in the CSR format, and an embedding table generation unit configured to generate an embedding table corresponding to the sub-graph.
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