9 citations · 18 across the 4 of their papers we have counts for
4 papers
A Simple Hypergraph Kernel Convolution based on Discounted Markov Diffusion Process
Fuyang Li, Jiying Zhang, Xi Xiao +2
Kernels on discrete structures evaluate pairwise similarities between objects which capture semantics and inherent topology information. Existing kernels on discrete structures are…
GraphTTA: Test Time Adaptation on Graph Neural Networks
Guanzi Chen, Jiying Zhang, Xi Xiao +1
Recently, test time adaptation (TTA) has attracted increasing attention due to its power of handling the distribution shift issue in the real world. Unlike what has been developed…
Preventing Over-Smoothing for Hypergraph Neural Networks
Guanzi Chen, Jiying Zhang, Xi Xiao +1
In recent years, hypergraph learning has attracted great attention due to its capacity in representing complex and high-order relationships. However, current neural network approac…
Hypergraph Convolutional Networks via Equivalency between Hypergraphs and Undirected Graphs
Jiying Zhang, Fuyang Li, Xi Xiao +4
As a powerful tool for modeling complex relationships, hypergraphs are gaining popularity from the graph learning community. However, commonly used frameworks in deep hypergraph le…