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[PDF][PDF] Position paper: Challenges and opportunities in topological deep learning
T Papamarkou, T Birdal, M Bronstein… - ar** effective educational strategies. However, existing methods often fall short in …
E (n) equivariant topological neural networks
Graph neural networks excel at modeling pairwise interactions, but they cannot flexibly
accommodate higher-order interactions and features. Topological deep learning (TDL) has …
accommodate higher-order interactions and features. Topological deep learning (TDL) has …
Training-Free Message Passing for Learning on Hypergraphs
B Tang, Z Liu, K Jiang, S Chen, X Dong - arxiv preprint arxiv:2402.05569, 2024 - arxiv.org
Hypergraphs are crucial for modelling higher-order interactions in real-world data.
Hypergraph neural networks (HNNs) effectively utilise these structures by message passing …
Hypergraph neural networks (HNNs) effectively utilise these structures by message passing …