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: 6218
Venue: SIGMOD
Year: 2021
Pagerank: 5.9855056e-05
Overall Rank: 4,703 | 67.29%
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
5,561	Accelerating Sampling and Aggregation Operations in GNN Frameworks with GPU Initiated Direct Storage Accesses	2024	VLDB	5.4332062e-05
6,485	EARLY: Efficient and Reliable Graph Neural Network for Dynamic Graphs	2023	SIGMOD	5.0453531e-05
6,985	CompressGraph: Efficient Parallel Graph Analytics with Rule-Based Compression	2023	SIGMOD	4.8729387e-05
8,701	Compact Walks: Taming Knowledge-Graph Embeddings With Domain- and Task-Specific Pathways	2022	SIGMOD	4.4656059e-05
10,754	OmniMatch: Joinability Discovery in Data Products	2025	VLDB	4.1945683e-05
11,001	Capturing More Associations by Referencing External Graphs	2024	VLDB	4.1945683e-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
300	Deep Learning for Entity Matching: A Design Space Exploration	2018	SIGMOD	0.00028441466
5,479	Microblog Entity Linking with Social Temporal Context	2015	SIGMOD	5.4850984e-05
5,958	Fine-grained Concept Linking using Neural Networks in Healthcare	2018	SIGMOD	5.2563968e-05
6,747	Entity Matching Meets Data Science: A Progress Report from the Magellan Project	2019	SIGMOD	4.9408824e-05

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