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10/30/2022
A Simple Hypergraph Kernel Convolution based on Discounted Markov Diffusion Process
Kernels on discrete structures evaluate pairwise similarities between ob...
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03/31/2022
Preventing Over-Smoothing for Hypergraph Neural Networks
In recent years, hypergraph learning has attracted great attention due t...
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03/31/2022
Hypergraph Convolutional Networks via Equivalency between Hypergraphs and Undirected Graphs
As a powerful tool for modeling complex relationships, hypergraphs are g...
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03/20/2022
Fine-Tuning Graph Neural Networks via Graph Topology induced Optimal Transport
Recently, the pretrain-finetuning paradigm has attracted tons of attenti...
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06/10/2021
Learnable Hypergraph Laplacian for Hypergraph Learning
HyperGraph Convolutional Neural Networks (HGCNNs) have demonstrated thei...
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03/17/2021