A Deep Dive Into Understanding The Random Walk-Based Temporal Graph Learning

2021 IEEE International Symposium on Workload Characterization (IISWC)(2021)

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摘要
Machine learning on graph data has gained significant interest because of its applicability to various domains ranging from product recommendations to drug discovery. While there is a rapid growth in the algorithmic community, the computer architecture community has so far focused on a subset of graph learning algorithms including Graph Convolution Network (GCN), and a few others. In this paper, w...
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关键词
Runtime,Machine learning algorithms,Heuristic algorithms,Software algorithms,Computer architecture,Prediction algorithms,Hardware
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