Medical Entity Disambiguation Using Graph Neural Networks

Summary: ED-GNN uses GraphSAGE, R-GCN, and MAGNN for medical entity disambiguation, modeling mentions as a query graph to bridge KB-text gaps. Two optimizations: hard negative sampling and query-graph construction; yield ~7.3% F1 gain over SOTA on five datasets. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID: 6219
Venue: SIGMOD
Year: 2021
Pagerank: 5.9797526e-05
Overall Rank: 4,701 | 67.33%
DOI: 10.1145/3448016.3457328

Incoming Non-self Citations Over Time

Authors

Incoming Citations (Sorted by Pagerank)

Showing 6 of 6 citing papers.

Rank	Citing Paper	Year	Venue	Pagerank
5,570	Accelerating Sampling and Aggregation Operations in GNN Frameworks with GPU Initiated Direct Storage Accesses	2024	VLDB	5.4280174e-05
6,479	EARLY: Efficient and Reliable Graph Neural Network for Dynamic Graphs	2023	SIGMOD	5.0405101e-05
6,983	CompressGraph: Efficient Parallel Graph Analytics with Rule-Based Compression	2023	SIGMOD	4.8682622e-05
8,696	Compact Walks: Taming Knowledge-Graph Embeddings With Domain- and Task-Specific Pathways	2022	SIGMOD	4.4613254e-05
10,760	OmniMatch: Joinability Discovery in Data Products	2025	VLDB	4.1905499e-05
11,004	Capturing More Associations by Referencing External Graphs	2024	VLDB	4.1905499e-05

Outgoing Citations (Sorted by Pagerank)

Showing 4 of 4 cited papers.

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

Rank	Cited Paper	Year	Venue	Pagerank
293	Deep Learning for Entity Matching: A Design Space Exploration	2018	SIGMOD	0.00028661817
5,488	Microblog Entity Linking with Social Temporal Context	2015	SIGMOD	5.4798261e-05
5,959	Fine-grained Concept Linking using Neural Networks in Healthcare	2018	SIGMOD	5.2514585e-05
6,750	Entity Matching Meets Data Science: A Progress Report from the Magellan Project	2019	SIGMOD	4.936137e-05

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