6 citations · 22 across the 20 of their papers we have counts for
4 papers · 1 filter
Hypergraph Neural Diffusion: A PDE-Inspired Framework for Hypergraph Message Passing
Zhiheng Zhou, Mengyao Zhou, Xixun Lin +2
Hypergraph neural networks (HGNNs) have shown remarkable potential in modeling high-order relationships that naturally arise in many real-world data domains. However, existing HGNN…
Deep Graph Neural Point Process For Learning Temporal Interactive Networks
Su Chen, Xiaohua Qi, Xixun Lin +3
Learning temporal interaction networks(TIN) is previously regarded as a coarse-grained multi-sequence prediction problem, ignoring the network topology structure influence. This pa…
RANA: Robust Active Learning for Noisy Network Alignment
Yixuan Nan, Xixun Lin, Yanmin Shang +3
Network alignment has attracted widespread attention in various fields. However, most existing works mainly focus on the problem of label sparsity, while overlooking the issue of n…
Evidential Spectrum-Aware Contrastive Learning for OOD Detection in Dynamic Graphs
Nan Sun, Xixun Lin, Zhiheng Zhou +3
Recently, Out-of-distribution (OOD) detection in dynamic graphs, which aims to identify whether incoming data deviates from the distribution of the in-distribution (ID) training se…