Xiaoxiao Ma

23 papers A* 8B 2Journal 12Unranked 1
YearRankTypeTitle / Venue / Authors
2026 A* conf
Revisiting Graph-Level Anomaly Detection: From Partially to Fully Unsupervised Learning.
WWW
Zhenyu Yang, Ge Zhang, Shan Xue, Xiaoxiao Ma, Jian Yang, Hao Peng, Amin Beheshti, Jia Wu
2026 A* conf
Semi-Supervised Fake News Detection with Mixture of Experts.
WWW
Zhenyu Yang, Chaoyu Yang, Wenfeng Xu, Xiuxiu Hao, Huan Wang, Ge Zhang, Xiaoxiao Ma, Jun Shen
2025 J jnl
Contrastive Multi-Knowledge Graph Learning for Fake News Detection.
IEEE Trans. Netw. Sci. Eng.
Bingbing Xie, Xiaoxiao Ma, Shan Xue, Jian Yang, Jia Wu, Hao Fan
2025 — conf
GDendrite: On Heterophilous Graph Contexts Mining with Versatile Neural Dendrites Framework.
KDD (2)
Ruikun Li, Ye Xiao, Xiaoxiao Ma, Andrey Vasnev, Junbin Gao
2025 J jnl
Heterogeneous Hypergraph Neural Network for Social Recommendation using Attention Network.
Trans. Recomm. Syst.
Bilal Khan, Jia Wu, Jian Yang, Xiaoxiao Ma
2025 J jnl
Multiknowledge and LLM-Inspired Heterogeneous Graph Neural Network for Fake News Detection.
IEEE Trans. Comput. Soc. Syst.
Bingbing Xie, Xiaoxiao Ma, Shan Xue, Amin Beheshti, Jian Yang, Hao Fan, Jia Wu
2025 J jnl
Rethinking Unsupervised Graph Anomaly Detection With Deep Learning: Residuals and Objectives.
IEEE Trans. Knowl. Data Eng.
Xiaoxiao Ma, Fanzhen Liu, Jia Wu, Jian Yang, Shan Xue, Quan Z. Sheng
2025 J jnl
Towards Faithful Class-level Self-explainability in Graph Neural Networks by Subgraph Dependencies.
CoRR
Fanzhen Liu, Xiaoxiao Ma, Jian Yang, Alsharif Abuadbba, Kristen Moore, Surya Nepal, Cécile Paris, Quan Z. Sheng, Jia Wu
2025 J jnl
When and What to Recommend: Joint Modeling of Timing and Content for Active Sequential Recommendation.
CoRR
Jin Chai, Xiaoxiao Ma, Jian Yang, Jia Wu
2024 A* conf
Divide and Denoise: Empowering Simple Models for Robust Semi-Supervised Node Classification against Label Noise.
KDD
Kaize Ding, Xiaoxiao Ma, Yixin Liu, Shirui Pan
2024 A* conf
Graph Anomaly Detection with Few Labels: A Data-Centric Approach.
KDD
Xiaoxiao Ma, Ruikun Li, Fanzhen Liu, Kaize Ding, Jian Yang, Jia Wu
2024 A* conf
Heterogeneous Subgraph Transformer for Fake News Detection.
WWW
Yuchen Zhang, Xiaoxiao Ma, Jia Wu, Jian Yang, Hao Fan
2024 J jnl
Heterogeneous Subgraph Transformer for Fake News Detection.
CoRR
Yuchen Zhang, Xiaoxiao Ma, Jia Wu, Jian Yang, Hao Fan
2024 J jnl
Knowledge Graph Enhanced Heterogeneous Graph Neural Network for Fake News Detection.
IEEE Trans. Consumer Electron.
Bingbing Xie, Xiaoxiao Ma, Jia Wu, Jian Yang, Hao Fan
2024 A* conf
On Fake News Detection with LLM Enhanced Semantics Mining.
EMNLP
Xiaoxiao Ma, Yuchen Zhang, Kaize Ding, Jian Yang, Jia Wu, Hao Fan
2023 J jnl
A Comprehensive Survey on Graph Anomaly Detection With Deep Learning.
IEEE Trans. Knowl. Data Eng.
Xiaoxiao Ma, Jia Wu, Shan Xue, Jian Yang, Chuan Zhou, Quan Z. Sheng, Hui Xiong, Leman Akoglu
2023 B conf
Heterogeneous Graph Neural Network via Knowledge Relations for Fake News Detection.
SSDBM
Bingbing Xie, Xiaoxiao Ma, Jia Wu, Jian Yang, Shan Xue, Hao Fan
2023 A* conf
Towards Graph-level Anomaly Detection via Deep Evolutionary Mapping.
KDD
Xiaoxiao Ma, Jia Wu, Jian Yang, Quan Z. Sheng
2022 A* conf
DAGAD: Data Augmentation for Graph Anomaly Detection.
ICDM
Fanzhen Liu, Xiaoxiao Ma, Jia Wu, Jian Yang, Shan Xue, Amin Beheshti, Chuan Zhou, Hao Peng, Quan Z. Sheng, Charu C. Aggarwal
2022 J jnl
DAGAD: Data Augmentation for Graph Anomaly Detection.
CoRR
Fanzhen Liu, Xiaoxiao Ma, Jia Wu, Jian Yang, Shan Xue, Amin Beheshti, Chuan Zhou, Hao Peng, Quan Z. Sheng, Charu C. Aggarwal
2022 J jnl
Deep Multi-Attributed-View Graph Representation Learning.
IEEE Trans. Netw. Sci. Eng.
Xiaoxiao Ma, Shan Xue, Jia Wu, Jian Yang, Cécile Paris, Surya Nepal, Quan Z. Sheng
2021 J jnl
A Comprehensive Survey on Graph Anomaly Detection with Deep Learning.
CoRR
Xiaoxiao Ma, Jia Wu, Shan Xue, Jian Yang, Quan Z. Sheng, Hui Xiong
2015 B conf
Application of Mobile Games to Support Clinical Data Collection for Patients with Niemann-Pick Disease.
CBMS
Richard O. Sinnott, Jun Han, William Hu, Xiaoxiao Ma, Kuai Yu