#node-classification2 articles

2 articles

AIBullisharXiv – CS AI · 5h ago

🧠

Bridging Computational Social Science and Deep Learning: Cultural Dissemination-Inspired Graph Neural Networks

Researchers introduce AxelGNN, a new Graph Neural Network architecture inspired by cultural dissemination theory that addresses key limitations of existing GNNs including oversmoothing and poor handling of heterogeneous relationships. The model demonstrates superior performance in node classification and influence estimation while maintaining computational efficiency across both homophilic and heterophilic graphs.

AINeutralarXiv – CS AI · 5h ago

🧠

Graph Hopfield Networks: Energy-Based Node Classification with Associative Memory

Researchers introduce Graph Hopfield Networks, a new neural network architecture that combines associative memory with graph-based learning for node classification tasks. The method shows improvements of up to 5 percentage points on robustness tests and 2 percentage points on citation networks, outperforming standard baselines across multiple graph types.