Anonymous Edge Representation for Inductive Anomaly Detection in Dynamic Bipartite Graph
Summary: AER learns identity-free edge representations for inductive anomaly detection on evolving bipartite graphs, generalizing to unseen nodes and avoiding pre-defined anomaly types. AER-AD substantially outperforms inductive representation and anomaly-detection baselines. (summarized by gpt-5.6-luna on Jul 24 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Lanting Fang (Purple Mountain Laboratories; Southeast University)
- 2. Kaiyu Feng (Beijing Institute of Technology)
- 3. Jie Gui (Purple Mountain Laboratories; Southeast University)
- 4. Shanshan Feng (Harbin Engineering University)
- 5. Aiqun Hu (Purple Mountain Laboratories; Southeast University)
BibTeX Citation
@article{fang_vldb23,
title = {{Anonymous Edge Representation for Inductive Anomaly Detection in Dynamic Bipartite Graph}},
author = {Fang, Lanting and Feng, Kaiyu and Gui, Jie and Feng, Shanshan and Hu, Aiqun},
journal = {PVLDB},
series = {{VLDB} '23},
volume = {16},
number = {5},
pages = {1154--1167},
doi = {10.14778/3579075.3579088},
url = {https://doi.org/10.14778/3579075.3579088},
year = {2023}
}Incoming Citations (Sorted by Pagerank)
Showing 2 of 2 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 7,908 | Billion-Scale Bipartite Graph Embedding: A Global-Local Induced Approach | 2024 | VLDB | 5.5181056e-05 |
| 11,202 | Online Detection of Anomalies in Temporal Knowledge Graphs with Interpretability | 2024 | SIGMOD | 5.093636e-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 |
|---|---|---|---|---|
| 920 | APAN: Asynchronous Propagation Attention Network for Real-time Temporal Graph Embedding | 2021 | SIGMOD | 0.00013209734 |
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