Shan Xue

Lecturer

Macquarie University

Australia

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About

Shan Xue is a Lecturer at Macquarie University in Australia. His research interests focus on graph-based learning, with recent publications exploring areas such as session-based social recommendations, fake news detection, and graph anomaly detection. He is also engaged in advancements in data mining and machine learning, particularly in the context of building energy management.

Articles (22)

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Professor

University of Wollongong

AUSTRALIA

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Shan Xue

Research Interests

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About

Articles (22)

A unified hypergraph framework for inter and intra-session dynamics in session-based social recommendations

Multiknowledge and LLM-Inspired Heterogeneous Graph Neural Network for Fake News Detection

Rethinking unsupervised graph anomaly detection with deep learning

Self-supervised multi-hop heterogeneous hypergraph embedding with informative pooling for graph-level classification

Contrastive Multi-Knowledge Graph Learning for Fake News Detection

Dynamic Hypergraph for Cross-Domain Session-Based Social Recommendations

Recent advances in data mining and machine learning for enhanced building energy management

State of the Art and Potentialities of Graph-level Learning

Single-stage oriented object detection via Corona Heatmap and multi-stage angle prediction

Heterogeneous Hypergraph Embedding for Node Classification in Dynamic Networks

C-DeepTrust

Multi-aspect enhanced graph neural networks for recommendation

Online active learning for drifting data streams

Type Information Utilized Event Detection via Multi-Channel GNNs in Electrical Power Systems

A comprehensive survey on graph anomaly detection with deep learning

Optimization of building demand flexibility using reinforcement learning and rule-based expert systems

Attention deep residual networks for MR image analysis

Deep Multi-Attributed-View Graph Representation Learning

eRiskCom

Task offloading with task classification and offloading nodes selection for MEC-enabled IoV

A data stream cleaning system using edge intelligence for smart city industrial environments

A Comprehensive Survey on Community Detection With Deep Learning

Collaborators (7)

Malik Khizar Hayat

Jia Wu

Jian Yang

weiliang zhao

Michael Sheng

Fanzhen Liu

Zhenjun Ma

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