Heterogeneous academic network from the ACM digital library, as the Heterogeneous Graph Benchmark packages it. Contains papers, authors, subjects and terms, linked by citation, reference, authorship, subject and term relations, each listed in both directions. Used as a standard benchmark for heterogeneous graph neural networks.
npx keepset fetch acm
Nodes
10,942
Edges
547,872
Size
3.9 MiB
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Xinyu Lv, Tong Zhao, Yozen Liu, Neil Shah, Yong Li (2021). Are we really making much progress? Revisiting, benchmarking and refining heterogeneous graph neural networks. Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining.