IEEE

FGMMa: Multi-Embedding Node Classification via Fuzzy Graph Message Passing and Graph Mamba

Abstract: With the explosive growth of graph data in scale, noise, and structural complexity, existing graph neural networks (GNNs) are reaching a performance bottleneck when simultaneously modelling ...
GitHub

Bridge the gap between your codebase and your AI editor. CCM transforms static source code into a dynamic, queryable Knowledge Graph, enabling AI agents to navigate, understand ...

CCM turns your AI from a text predictor into a Senior Architect.
IEEE

Attribute–Topology Cross-Frequency Aligned Graph Neural Networks for Homophilic and Heterophilic Graphs in Node Classification

Abstract: Graph neural networks (GNNs) have excelled in handling graph-structured data, attracting significant research interest. However, two primary challenges have emerged: interference between ...