[WWW'21] Multiplex Bipartite Network Embedding using Dual Hypergraph Convolutional Networks
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Updated
Oct 11, 2021 - Python
[WWW'21] Multiplex Bipartite Network Embedding using Dual Hypergraph Convolutional Networks
`ggbipart`, an R package for plotting bipartite networks
Protein Cluster Quant is a Java software for the analysis of complex proteomics samples (quantitative or not). It helps to reduce the redundancy of the peptide-to-protein relationship and to visualize the results in a bipartite network (Cytoscape).
Visualization tool combined with MOb (http://www.alanvalejo.com.br/software?name=mob), which introduces a novel metaphor to visualize a hierarchy of coarsened bipartite graphs.
Network science portfolio: Robustness analysis, bipartite projections, and fitness-based preferential attachment models. Applications in infrastructure resilience, social networks, and complex systems.
End-to-End Python replication of "Who Connects Global Aid?" (McCarthy et al., 2025). Uses bipartite network projection and Node2Vec embedding for analyzing 10M+ IATI transactions. Maps structural influence in global aid using HITS centrality, betweenness analysis, and UMAP visualization.
MLPb: Matching via weight-constrained label propagation in bipartite networks
OPM: One-mode projection-based multilevel method for bipartite networks
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