Redesigning graph filter-based GNNs to relax the homophily assumption

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Exploiting the Structure of Two Graphs with Graph Neural Networks‏

VM Tenorio, AG Marques - arxiv preprint arxiv:2411.05119, 2024‏ - arxiv.org‏
Graph neural networks (GNNs) have emerged as a promising solution to deal with
unstructured data, outperforming traditional deep learning architectures. However, most of …‏
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Structure-Guided Input Graph for GNNs facing Heterophily‏

VM Tenorio, M Navarro, S Rey, S Segarra… - arxiv preprint arxiv …, 2024‏ - arxiv.org‏
Graph Neural Networks (GNNs) have emerged as a promising tool to handle data exhibiting
an irregular structure. However, most GNN architectures perform well on homophilic …‏
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