The Power of Summarization in Graph Mining and Learning: Smaller Data, Faster Methods, More Interpretability

Summary: Graph summarization reduces massive networks to compact, query-friendly representations for faster mining, streaming, and on-device analysis. Highlights include knowledge-graph refinement, graph-stream summaries for activity detection, and GNN-based, interpretable fast classification, with open challenges. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID: 12551
Venue: VLDB
Year: 2021
Pagerank: -
Overall Rank: 13,265 | 7.72%
DOI: 10.14778/3484224.3484238

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Authors

1. Danai Koutra

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