A Critical Re-evaluation of Neural Methods for Entity Alignment
Summary: Comparative study of pre-neural and neural EA methods with standardized matching modules; connects EA to record linkage. Paris, a non-neural baseline, beats neural methods across datasets; recommends Paris as baseline and reframes neural positioning. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Manuel Leone
- 2. Stefano Huber
- 3. Akhil Arora
- 4. Alberto García-Durán
- 5. Robert West
Incoming Citations (Sorted by Pagerank)
Showing 2 of 2 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 8,908 | Deep Active Alignment of Knowledge Graph Entities and Schemata | 2023 | SIGMOD | 4.427232e-05 |
| 9,487 | Making It Tractable to Catch Duplicates and Conflicts in Graphs | 2023 | SIGMOD | 4.3341665e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 10 of 10 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 62 | Freebase: A Collaboratively Created Graph Database For Structuring Human Knowledge | 2008 | SIGMOD | 0.0006429466 |
| 221 | Deep Entity Matching with Pre-Trained Language Models | 2021 | VLDB | 0.00033121824 |
| 300 | Deep Learning for Entity Matching: A Design Space Exploration | 2018 | SIGMOD | 0.00028441466 |
| 712 | Magellan: Toward Building Entity Matching Management Systems | 2016 | VLDB | 0.00017732426 |
| 1,628 | PARIS: Probabilistic Alignment of Relations, Instances, and Schema | 2012 | VLDB | 0.00011085347 |
| 1,950 | Leveraging Data and Structure in Ontology Integration | 2007 | SIGMOD | 9.9756731e-05 |
| 2,514 | Comparative Analysis of Approximate Blocking Techniques for Entity Resolution | 2016 | VLDB | 8.6139012e-05 |
| 3,645 | Large-Scale Collective Entity Matching | 2011 | VLDB | 6.8853274e-05 |
| 3,915 | A Benchmarking Study of Embedding-based Entity Alignment for Knowledge Graphs | 2020 | VLDB | 6.6332294e-05 |
| 8,964 | Knowledge Translation | 2020 | VLDB | 4.4198627e-05 |
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