AI RESEARCH
Reservoir-Based Graph Convolutional Networks
arXiv CS.LG
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ArXi:2603.24131v1 Announce Type: new Message passing is a core mechanism in Graph Neural Networks (GNNs), enabling the iterative update of node embeddings by aggregating information from neighboring nodes. Graph Convolutional Networks (GCNs) exemplify this approach by adapting convolutional operations for graph structures, allowing features from adjacent nodes to be combined effectively. However, GCNs encounter challenges with complex or dynamic data.