SimGCL: graph contrastive learning by finding homophily in heterophily

Research article (Knowledge and Information Systems, 2023) · cited 29× · AI/ML
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SimGCL: graph contrastive learning by finding homophily in heterophily

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SimGCL: graph contrastive learning by finding homophily in heterophily is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). SimGCL: graph contrastive learning by finding homophily in heterophily. Retrieved May 24, 2026, from https://4ort.xyz/entity/simgcl-graph-contrastive-learning-by-finding-homophily-in-heterophily
MLA “SimGCL: graph contrastive learning by finding homophily in heterophily.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/simgcl-graph-contrastive-learning-by-finding-homophily-in-heterophily.
BibTeX @misc{4ortxyz_simgcl-graph-contrastive-learning-by-finding-homophily-in-heterophily_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{SimGCL: graph contrastive learning by finding homophily in heterophily}}, year = {2026}, url = {https://4ort.xyz/entity/simgcl-graph-contrastive-learning-by-finding-homophily-in-heterophily}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): SimGCL: graph contrastive learning by finding homophily in heterophily — https://4ort.xyz/entity/simgcl-graph-contrastive-learning-by-finding-homophily-in-heterophily (retrieved 2026-05-24)

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