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    "text": "New additions\n\n1. Graph neural networks extrapolate out-of-distribution for shortest paths. arxiv.org/abs/2503.19173\n\n2. Round and Round We Go! What makes Rotary Positional Encodings useful?. ICLR 2025. openreview.net/forum?id=Gtv...",
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          "title": "Graph neural networks extrapolate out-of-distribution for shortest paths",
          "description": "Neural networks (NNs), despite their success and wide adoption, still struggle to extrapolate out-of-distribution (OOD), i.e., to inputs that are not well-represented by their training dataset. Addres..."
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