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Graph Association Analyses for Early Drug Discovery

Summary: MedHunter builds a biomedical knowledge graph (DDKG) by integrating 11 biochemical sources with heterogeneous entity resolution, and supports incremental enrichment and cleaning. It introduces graph association rules (GARs)—graph-pattern rules that embed ML predicates—to discover drug–disease links, PPIs and DDIs and to drive extraction/cleaning. (summarized by gpt-5-mini on Feb 09 2026)

Paper ID
13641
Venue
VLDB
Year
2024
Pagerank
5.1725247e-05
Overall Rank
11,101 | 22.85%
DOI
10.14778/3685800.3685858

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Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Rank Cited Paper Year Venue Pagerank
1,455 word2vec, node2vec, graph2vec, X2vec: Towards a Theory of Vector Embeddings of Structured Data 2020 PODS 0.00010807641
7,206 Discovering Association Rules from Big Graphs 2022 VLDB 5.7309223e-05
7,981 Capturing Associations in Graphs 2020 VLDB 5.5692809e-05
8,094 Deducing Certain Fixes to Graphs 2019 VLDB 5.5470987e-05
9,483 Making It Tractable to Catch Duplicates and Conflicts in Graphs 2023 SIGMOD 5.3246578e-05
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