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SignFlow Bipartite Subgraph Network For Large-Scale Graph Link Sign Prediction

NeurIPS 2025 · Graph learning › GNN architectures · approach: Graph rewiring and scalable message passing

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AI-extracted summary. Written by AI from the paper's abstract only. Numbers and claims can be wrong or missing context, so check the paper before you cite or build on it.

Proposes SignFlow, a bipartite subgraph network for scalable link sign prediction in large signed bipartite graphs, addressing space and time complexity.

Problem

Link sign prediction in signed bipartite graphs (e.g., social networks, recommender systems) faces prohibitive space and time complexity when scaled to large graphs.

Approach

A subgraph-based network for signed bipartite graphs that aims to reduce the space and time costs of sign prediction at scale; specific mechanism not stated in the available abstract.

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