Anonymous Edge Representation for Inductive Anomaly Detection in Dynamic Bipartite Graph
Summary: Introduce anonymous edge representation (AER) that encodes edge behavior without node identity to enable inductive anomaly detection on evolving bipartite graphs. Present AER-AD which uses AER for unseen-node detection and yields large AUC/F1 gains over state-of-the-art baselines. (summarized by gpt-5-mini on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Lanting Fang
- 2. Kaiyu Feng
- 3. Jie Gui
- 4. Shanshan Feng
- 5. Aiqun Hu
Incoming Citations (Sorted by Pagerank)
Showing 2 of 2 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 7,933 | Billion-Scale Bipartite Graph Embedding: A Global-Local Induced Approach | 2024 | VLDB | 4.613363e-05 |
| 10,991 | Online Detection of Anomalies in Temporal Knowledge Graphs with Interpretability | 2024 | 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 |
|---|---|---|---|---|
| 636 | APAN: Asynchronous Propagation Attention Network for Real-time Temporal Graph Embedding | 2021 | SIGMOD | 0.00018846494 |
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