5 papers
Transferable Hypergraph Attack via Injecting Nodes into Pivotal Hyperedges
Meixia He, Peican Zhu, Le Cheng +3
Recent studies have demonstrated that hypergraph neural networks (HGNNs) are susceptible to adversarial attacks. However, existing methods rely on the specific information mechanis…
KEN: Knowledge Augmentation and Emotion Guidance Network for Multimodal Fake News Detection
Peican Zhu, Yubo Jing, Le Cheng +2
In recent years, the rampant spread of misinformation on social media has made accurate detection of multimodal fake news a critical research focus. However, previous research has…
SourceDetMamba: A Graph-aware State Space Model for Source Detection in Sequential Hypergraphs
Le Cheng, Peican Zhu, Yangming Guo +3
Source detection on graphs has demonstrated high efficacy in identifying rumor origins. Despite advances in machine learning-based methods, many fail to capture intrinsic dynamics…
HyperDet: Source Detection in Hypergraphs via Interactive Relationship Construction and Feature-rich Attention Fusion
Le Cheng, Peican Zhu, Yangming Guo +3
Hypergraphs offer superior modeling capabilities for social networks, particularly in capturing group phenomena that extend beyond pairwise interactions in rumor propagation. Exist…
Hypergraph Attacks via Injecting Homogeneous Nodes into Elite Hyperedges
Meixia He, Peican Zhu, Keke Tang +1
Recent studies have shown that Hypergraph Neural Networks (HGNNs) are vulnerable to adversarial attacks. Existing approaches focus on hypergraph modification attacks guided by grad…