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)
Incoming Non-self Citations Over Time
Authors
- 1. Alina Vretinaris (IBM)
- 2. Chuan Lei (IBM)
- 3. Vasilis Efthymiou (Hellas)
- 4. Xiao Qin (IBM)
- 5. Fatma Özcan (Google)
BibTeX Citation
@inproceedings{vretinaris_sigmod21,
title = {{Medical Entity Disambiguation Using Graph Neural Networks}},
author = {Vretinaris, Alina and Lei, Chuan and Efthymiou, Vasilis and Qin, Xiao and Özcan, Fatma},
series = {{SIGMOD} '21},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3448016.3457328},
url = {https://dl.acm.org/doi/10.1145/3448016.3457328},
year = {2021}
}Incoming Citations (Sorted by Pagerank)
Showing 6 of 6 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 5,597 | Accelerating Sampling and Aggregation Operations in GNN Frameworks with GPU Initiated Direct Storage Accesses | 2024 | VLDB | 6.1547003e-05 |
| 6,261 | EARLY: Efficient and Reliable Graph Neural Network for Dynamic Graphs | 2023 | SIGMOD | 5.9366952e-05 |
| 6,408 | CompressGraph: Efficient Parallel Graph Analytics with Rule-Based Compression | 2023 | SIGMOD | 5.8842681e-05 |
| 8,895 | Compact Walks: Taming Knowledge-Graph Embeddings With Domain- and Task-Specific Pathways | 2022 | SIGMOD | 5.3500818e-05 |
| 10,987 | OmniMatch: Joinability Discovery in Data Products | 2025 | VLDB | 5.093636e-05 |
| 11,212 | Capturing More Associations by Referencing External Graphs | 2024 | VLDB | 5.093636e-05 |
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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 |
|---|---|---|---|---|
| 176 | Deep Learning for Entity Matching: A Design Space Exploration | 2018 | SIGMOD | 0.00027191081 |
| 5,590 | Microblog Entity Linking with Social Temporal Context | 2015 | SIGMOD | 6.1557283e-05 |
| 6,115 | Fine-grained Concept Linking using Neural Networks in Healthcare | 2018 | SIGMOD | 5.9709282e-05 |
| 7,373 | Entity Matching Meets Data Science: A Progress Report from the Magellan Project | 2019 | SIGMOD | 5.6311132e-05 |
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