ZooBP: Belief Propagation for Heterogeneous Networks
Summary: ZooBP provides a closed-form, convergence-guaranteed Belief Propagation for heterogeneous graphs with multiple node and edge types. Linear-time, up to 600x faster than standard BP, it yields near-perfect fraud detection on a real Flipkart network. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Dhivya Eswaran
- 2. Stephan Günnemann
- 3. Christos Faloutsos
- 4. Disha Makhija
- 5. Mohit Kumar
Incoming Citations (Sorted by Pagerank)
Showing 2 of 2 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 3,600 | xFraud: Explainable Fraud Transaction Detection | 2022 | VLDB | 6.9315684e-05 |
| 11,560 | Factorized Graph Representations for Semi-Supervised Learning from Sparse Data | 2020 | SIGMOD | 4.1945683e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 1 of 1 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 6,015 | Linearized and Single-Pass Belief Propagation | 2015 | VLDB | 5.2415551e-05 |
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