Xiaoxiao Ma

Orcid: 0000-0003-1270-4155

Affiliations:
  • Macquarie University, School of Computing, Sydney, Australia
  • University of Melbourne, Department of Computing and Information Systems, Melbourne, Australia


According to our database1, Xiaoxiao Ma authored at least 12 papers between 2015 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
Knowledge Graph Enhanced Heterogeneous Graph Neural Network for Fake News Detection.
IEEE Trans. Consumer Electron., February, 2024

Heterogeneous Subgraph Transformer for Fake News Detection.
Proceedings of the ACM on Web Conference 2024, 2024

Divide and Denoise: Empowering Simple Models for Robust Semi-Supervised Node Classification against Label Noise.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Graph Anomaly Detection with Few Labels: A Data-Centric Approach.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

On Fake News Detection with LLM Enhanced Semantics Mining.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

2023
A Comprehensive Survey on Graph Anomaly Detection With Deep Learning.
IEEE Trans. Knowl. Data Eng., December, 2023

Heterogeneous Graph Neural Network via Knowledge Relations for Fake News Detection.
Proceedings of the 35th International Conference on Scientific and Statistical Database Management, 2023

Towards Graph-level Anomaly Detection via Deep Evolutionary Mapping.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

2022
Deep Multi-Attributed-View Graph Representation Learning.
IEEE Trans. Netw. Sci. Eng., 2022

DAGAD: Data Augmentation for Graph Anomaly Detection.
Proceedings of the IEEE International Conference on Data Mining, 2022

2021
A Comprehensive Survey on Graph Anomaly Detection with Deep Learning.
CoRR, 2021

2015
Application of Mobile Games to Support Clinical Data Collection for Patients with Niemann-Pick Disease.
Proceedings of the 28th IEEE International Symposium on Computer-Based Medical Systems, 2015


  Loading...