Billion-Scale Bipartite Graph Embedding: A Global-Local Induced Approach
Summary: Introduces AnchorGNN, a global-local GNN for billion-scale bipartite embedding: anchor-based message passing captures global knowledge, while likelihood-based one-hop modeling avoids adjacency construction. It improves accuracy up to 36% and speed up to 28×. (summarized by gpt-5.6-luna on Jul 24 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Xueyi Wu (East China Normal University)
- 2. Yuanyuan Xu (University of New South Wales)
- 3. Wenjie Zhang (University of New South Wales)
- 4. Ying Zhang (University of Technology Sydney)
BibTeX Citation
@article{wu_vldb24,
title = {{Billion-Scale Bipartite Graph Embedding: A Global-Local Induced Approach}},
author = {Wu, Xueyi and Xu, Yuanyuan and Zhang, Wenjie and Zhang, Ying},
journal = {PVLDB},
series = {{VLDB} '24},
volume = {17},
number = {2},
pages = {175--183},
doi = {10.14778/3626292.3626300},
url = {https://doi.org/10.14778/3626292.3626300},
year = {2024}
}Incoming Citations (Sorted by Pagerank)
Showing 3 of 3 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 8,990 | Efficient Unsupervised Community Search with Pre-trained Graph Transformer | 2024 | VLDB | 5.2421474e-05 |
| 11,257 | ACE: A Cardinality Estimator for Set-Valued Queries | 2025 | VLDB | 4.9793485e-05 |
| 11,359 | Effective and Efficient Attributed Hypergraph Embedding on Nodes and Hyperedges | 2025 | VLDB | 4.9793485e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 7 of 7 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 788 | Simrank++: Query Rewriting through Link Analysis of the Click Graph | 2008 | VLDB | 0.00013980547 |
| 1,740 | TranAD: Deep Transformer Networks for Anomaly Detection in Multivariate Time Series Data | 2022 | VLDB | 9.7439205e-05 |
| 2,441 | ICS-GNN: Lightweight Interactive Community Search via Graph Neural Network | 2021 | VLDB | 8.4621326e-05 |
| 4,751 | xFraud: Explainable Fraud Transaction Detection | 2022 | VLDB | 6.4353259e-05 |
| 5,562 | Scalable and Effective Bipartite Network Embedding | 2022 | SIGMOD | 6.0841762e-05 |
| 6,674 | Reliable Data Distillation on Graph Convolutional Network | 2020 | SIGMOD | 5.7125691e-05 |
| 7,549 | Anonymous Edge Representation for Inductive Anomaly Detection in Dynamic Bipartite Graph | 2023 | VLDB | 5.4981129e-05 |
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| 4 | 8,394 | Fast Neural Ranking on Bipartite Graph Indices | 2022 | VLDB |
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| 6 | 8,064 | Distributed Graph Embedding with Information-Oriented Random Walks | 2023 | VLDB |
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| 8 | 10,261 | Efficient High-Quality Clustering for Large Bipartite Graphs | 2024 | SIGMOD |
| 9 | 3,914 | Scaling Attributed Network Embedding to Massive Graphs | 2021 | VLDB |
| 10 | 5,562 | Scalable and Effective Bipartite Network Embedding | 2022 | SIGMOD |