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Deep Hypergraph Neural Networks with Tight Framelets
Proceedings of the AAAI Conference on Artificial IntelligenceHypergraphs provide a flexible framework for modeling high-order (complex) interactions among multiple entities, extending beyond traditional pairwise correlations in graph structures. However, deep hypergraph neural networks (HGNNs) often face the challenge of oversmoothing with increasing depth, similar to issues in graph neural networks (GNNs ...
Ming Li 0065 +6 more
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Hypergraph Neural Networks for Time-series Forecasting
2023 IEEE International Conference on Big Data (BigData), 2023Hongjie Chen 0003 +4 more
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A Multi-Modal Hypergraph Neural Network via Parametric Filtering and Feature Sampling
IEEE Transactions on Big Data, 2023Yang Luo, Zijian Liu, Chunbo Luo
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Multi-channel hypergraph topic neural network for clinical treatment pattern mining
Information Processing and Management, 2023Xin Min, Weidong Xie, Tianlong Ji
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Hyperspectral Image Classification Using Feature Fusion Hypergraph Convolution Neural Network
IEEE Transactions on Geoscience and Remote Sensing, 2022Zhiguo Jiang +2 more
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RAHG: A Role-Aware Hypergraph Neural Network for Node Classification in Graphs
IEEE Transactions on Network Science and Engineering, 2023Zhaohong Jia +2 more
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Dynamic weighted hypergraph convolutional network for brain functional connectome analysis
Medical Image Analysis, 2023Junqi Wang, Kim Cecil, Parikh Na
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