A Deep Dive Into Understanding The Random Walk-Based Temporal Graph Learning
2021 IEEE International Symposium on Workload Characterization (IISWC)(2021)
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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