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Billion-Scale Bipartite Graph Embedding: A Global-Local Induced Approach

Summary: AnchorGNN: global-local GNN for billion-scale bipartite graph embedding using anchor-based message passing to inject global knowledge and a one-hop MLE local model that avoids constructing large adjacency matrices. Scales to billion nodes, +36% accuracy, up to 28x faster. (summarized by gpt-5-mini on Feb 09 2026)

Paper ID
13413
Venue
VLDB
Year
2024
Pagerank
4.613363e-05
Overall Rank
7,933 | 44.82%
DOI
10.14778/3626292.3626300

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