Demonstration of Panda: A Weakly Supervised Entity Matching System
Summary: Demonstration of Panda, a weakly supervised entity matching system using Snorkel-style labeling functions to cheaply label EM pairs. It provides a browser-based IDE for EM with auto LF generation, visual debugging, smart sampling, and a dedicated EM labeling model to speed development. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Renzhi Wu
- 2. Prem Sakala
- 3. Peng Li
- 4. Xu Chu
- 5. Yeye He
Incoming Citations (Sorted by Pagerank)
Showing 4 of 4 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 8,406 | DADER: Hands-Off Entity Resolution with Domain Adaptation | 2022 | VLDB | 4.5220083e-05 |
| 9,409 | Ground Truth Inference for Weakly Supervised Entity Matching | 2023 | SIGMOD | 4.3441378e-05 |
| 11,230 | VersaMatch: Ontology Matching with Weak Supervision | 2023 | VLDB | 4.1945683e-05 |
| 11,388 | Frost: A Platform for Benchmarking and Exploring Data Matching Results | 2022 | VLDB | 4.1945683e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 9 of 9 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 155 | Robust and Efficient Fuzzy Match for Online Data Cleaning | 2003 | SIGMOD | 0.00040637896 |
| 254 | Snorkel: Rapid Training Data Creation with Weak Supervision | 2018 | VLDB | 0.00030540555 |
| 300 | Deep Learning for Entity Matching: A Design Space Exploration | 2018 | SIGMOD | 0.00028441466 |
| 319 | Evaluation of entity resolution approaches on real-world match problems | 2010 | VLDB | 0.00027781866 |
| 712 | Magellan: Toward Building Entity Matching Management Systems | 2016 | VLDB | 0.00017732426 |
| 754 | Distributed Representations of Tuples for Entity Resolution | 2018 | VLDB | 0.00017117211 |
| 3,140 | ZeroER: Entity Resolution using Zero Labeled Examples | 2020 | SIGMOD | 7.4841763e-05 |
| 4,607 | Data Integration and Machine Learning: A Natural Synergy | 2018 | SIGMOD | 6.0538827e-05 |
| 5,434 | Auto-FuzzyJoin: Auto-Program Fuzzy Similarity Joins Without Labeled Examples | 2021 | SIGMOD | 5.5045402e-05 |
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