Jun 11, 2022 · This paper proposes GEBE, a generic BNE framework achieving state-of-the-art performance on massive bipartite graphs, via four main algorithmic designs.
A length-k embedding vector V[v". ] U u! and V[v". ] capture the hidden topological features surrounding u!and v". Scalable and Effective Bipartite Network ...
Jun 17, 2022 · Effective BNE should preserve not only the direct connections between nodes but also the multi-hop relationships formed alternately by the two ...
This is the source code of GEBEp proposed in the SIGMOD paper titled "Scalable and Effective Bipartite Network Embedding".
Researchers have proposed two main approaches to enhance the embedding quality of BGE: (1) random walkbased methods [8] , [10], which rely on designing ...
Scalable and Effective Bipartite Network Embedding. https://doi.org/10.1145/3514221.3517838. Journal: Proceedings of the 2022 International Conference on ...
Oct 12, 2024 · In this paper, we present a novel bipartite graph embedding model called CCBIE that incorporates clustering constraints.
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○ PANE: Scalable and Effective Attributed Network Embedding (Special Issue on Best Papers of VLDB 2021) ... ○ Scalable and Effective Bipartite Network Embedding
We only report results within 3 days. along the GNN-based methods, our goal is to develop an effective and scalable BGE solution by addressing the following ...
Scalable and Effective Bipartite Network Embedding. R. Yang, J. Shi, K. Huang, and X. Xiao. SIGMOD Conference, page 1977-1991. ACM, (2022 ). Links and ...