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News/Size-Transferability of Graph Transformers with Convolutional Positional Encodings
arxiv
PublishedOctober 16, 2026 at 4:00 AM

Size-Transferability of Graph Transformers with Convolutional Positional Encodings

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arXiv:2602.15239v4 Announce Type: replace Abstract: Transformers have achieved remarkable success across domains, motivating the rise of Graph Transformers (GTs) as attention-based architectures for graph-structured data. A key design choice in GTs is the use of Graph Neural Network (GNN)-based posi

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