Demonstration of Panda: A Weakly Supervised Entity Matching System
Summary: Panda is a weakly supervised entity-matching system that replaces costly pair labeling with user-written, Snorkel-style labeling functions. Its browser IDE uniquely supports EM-specific LF generation, sampling, debugging, utilities, lifecycle management, and label modeling. (summarized by gpt-5.6-luna on Jul 24 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Renzhi Wu (Georgia Institute of Technology)
- 2. Prem Sakala (Georgia Institute of Technology)
- 3. Peng Li (Georgia Institute of Technology)
- 4. Xu Chu (Georgia Institute of Technology)
- 5. Yeye He (Microsoft)
BibTeX Citation
@article{wu_vldb21,
title = {{Demonstration of Panda: A Weakly Supervised Entity Matching System}},
author = {Wu, Renzhi and Sakala, Prem and Li, Peng and Chu, Xu and He, Yeye},
journal = {PVLDB},
series = {{VLDB} '21},
volume = {14},
number = {12},
pages = {2735--2738},
doi = {10.14778/3476311.3476332},
url = {https://doi.org/10.14778/3476311.3476332},
year = {2021}
}Incoming Citations (Sorted by Pagerank)
Showing 4 of 4 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 8,476 | DADER: Hands-Off Entity Resolution with Domain Adaptation | 2022 | VLDB | 5.333639e-05 |
| 9,708 | Ground Truth Inference for Weakly Supervised Entity Matching | 2023 | SIGMOD | 5.1374628e-05 |
| 11,744 | VersaMatch: Ontology Matching with Weak Supervision | 2023 | VLDB | 4.9793485e-05 |
| 11,894 | Frost: A Platform for Benchmarking and Exploring Data Matching Results | 2022 | VLDB | 4.9793485e-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 |
|---|---|---|---|---|
| 158 | Deep Learning for Entity Matching: A Design Space Exploration | 2018 | SIGMOD | 0.00028046388 |
| 161 | Robust and Efficient Fuzzy Match for Online Data Cleaning | 2003 | SIGMOD | 0.00027718195 |
| 205 | Snorkel: Rapid Training Data Creation with Weak Supervision | 2018 | VLDB | 0.00025181304 |
| 244 | Evaluation of entity resolution approaches on real-world match problems | 2010 | VLDB | 0.00023314591 |
| 457 | Distributed Representations of Tuples for Entity Resolution | 2018 | VLDB | 0.00017907103 |
| 530 | Magellan: Toward Building Entity Matching Management Systems | 2016 | VLDB | 0.00016855162 |
| 2,323 | ZeroER: Entity Resolution using Zero Labeled Examples | 2020 | SIGMOD | 8.6348884e-05 |
| 4,171 | Data Integration and Machine Learning: A Natural Synergy | 2018 | SIGMOD | 6.7608137e-05 |
| 4,970 | Auto-FuzzyJoin: Auto-Program Fuzzy Similarity Joins Without Labeled Examples | 2021 | SIGMOD | 6.3329595e-05 |
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