AINeutralarXiv – CS AI · Mar 54/10
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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.