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20242026
most citedMulti-view Correlation-aware Network Traffic Detection on Flow Hypergraph

2 citations · 2 across the 1 of their papers we have counts for

collaborators

5 papers

cs.CR20262 cited

Multi-view Correlation-aware Network Traffic Detection on Flow Hypergraph

Jiajun Zhou, Wentao Fu, Hao Song +2

As the Internet rapidly expands, the increasing complexity and diversity of network activities pose significant challenges to effective network governance and security regulation.…

cs.LG2025

Network Anomaly Traffic Detection via Multi-view Feature Fusion

Song Hao, Wentao Fu, Xuanze Chen +4

Traditional anomalous traffic detection methods are based on single-view analysis, which has obvious limitations in dealing with complex attacks and encrypted communications. In th…

cs.LG2025

Mixture of Experts Meets Decoupled Message Passing: Towards General and Adaptive Node Classification

Xuanze Chen, Jiajun Zhou, Shanqing Yu +1

Graph neural networks excel at graph representation learning but struggle with heterophilous data and long-range dependencies. And graph transformers address these issues through s…

cs.LG2025

Clarify Confused Nodes via Separated Learning

Jiajun Zhou, Shengbo Gong, Xuanze Chen +4

Graph neural networks (GNNs) have achieved remarkable advances in graph-oriented tasks. However, real-world graphs invariably contain a certain proportion of heterophilous nodes, c…

cs.LG2024

Enhancing Ethereum Fraud Detection via Generative and Contrastive Self-supervision

Chenxiang Jin, Jiajun Zhou, Chenxuan Xie +3

The rampant fraudulent activities on Ethereum hinder the healthy development of the blockchain ecosystem, necessitating the reinforcement of regulations. However, multiple imbalanc…