2026
LEAP: Local ECT-Based Learnable Positional Encodings for Graphs
ICLR 2026poster
Graph neural networks (GNNs) largely rely on the message-passing paradigm, where nodes iteratively aggregate information from their neighbors. Yet, standard message passing neural networks (MPNNs) face well-documented theoretical and practical limitations. Graph positional encoding (PE) has emerged…