Guixiang Ma

Orcid: 0000-0001-6144-6709

According to our database1, Guixiang Ma authored at least 40 papers between 2010 and 2024.

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

Timeline

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Links

On csauthors.net:

Bibliography

2024
Contrastive Brain Network Learning via Hierarchical Signed Graph Pooling Model.
IEEE Trans. Neural Networks Learn. Syst., June, 2024

Memory-Augmented Graph Neural Networks: A Brain-Inspired Review.
IEEE Trans. Artif. Intell., May, 2024

Personalized recommendation via inductive spatiotemporal graph neural network.
Pattern Recognit., January, 2024

A structure-aware framework for learning device placements on computation graphs.
CoRR, 2024

2023
Explainable survival analysis with uncertainty using convolution-involved vision transformer.
Comput. Medical Imaging Graph., December, 2023

Line graph contrastive learning for link prediction.
Pattern Recognit., August, 2023

MolHF: Molecular Heterogeneous Attributes Fusion for Drug-Target Affinity Prediction on Heterogeneity.
IEICE Trans. Inf. Syst., May, 2023

A convolutional neural network with pixel-wise sparse graph reasoning for COVID-19 lesion segmentation in CT images.
Comput. Biol. Medicine, March, 2023

Leveraging Reinforcement Learning and Large Language Models for Code Optimization.
CoRR, 2023

Robust Ranking Explanations.
CoRR, 2023

Community-Enhanced Contrastive Siamese Networks for Graph Representation Learning.
Proceedings of the Knowledge Science, Engineering and Management, 2023

Augmenting Recurrent Graph Neural Networks with a Cache.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

2022
Robust Ranking Explanations.
CoRR, 2022

Memory-Augmented Graph Neural Networks: A Neuroscience Perspective.
CoRR, 2022

Contrastive Brain Network Learning via Hierarchical Signed Graph Pooling Model.
CoRR, 2022

End-to-end Mapping in Heterogeneous Systems Using Graph Representation Learning.
CoRR, 2022

DDGCN: Dual Dynamic Graph Convolutional Networks for Rumor Detection on Social Media.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

Explainable Survival Analysis with Convolution-Involved Vision Transformer.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
CommPOOL: An interpretable graph pooling framework for hierarchical graph representation learning.
Neural Networks, 2021

Deep graph similarity learning: a survey.
Data Min. Knowl. Discov., 2021

PSGR: Pixel-wise Sparse Graph Reasoning for COVID-19 Pneumonia Segmentation in CT Images.
CoRR, 2021

DistGNN: scalable distributed training for large-scale graph neural networks.
Proceedings of the International Conference for High Performance Computing, 2021

A Distributed Graph-Theoretic Framework for Automatic Parallelization in Multi-core Systems.
Proceedings of the Fourth Conference on Machine Learning and Systems, 2021

Self-learn to Explain Siamese Networks Robustly.
Proceedings of the IEEE International Conference on Data Mining, 2021

Learning Code Representations Using Multifractal-based Graph Networks.
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

2020
A Vertex Cut based Framework for Load Balancing and Parallelism Optimization in Multi-core Systems.
CoRR, 2020

Adversarial Attack on Hierarchical Graph Pooling Neural Networks.
CoRR, 2020

Robust Spammer Detection by Nash Reinforcement Learning.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

2019
Deep Graph Similarity Learning for Brain Data Analysis.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

Community-preserving Graph Convolutions for Structural and Functional Joint Embedding of Brain Networks.
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

2018
Similarity Learning with Higher-Order Proximity for Brain Network Analysis.
CoRR, 2018

Securing Behavior-based Opinion Spam Detection.
Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

2017
Kernelized Support Tensor Machines.
Proceedings of the 34th International Conference on Machine Learning, 2017

Multi-view Graph Embedding with Hub Detection for Brain Network Analysis.
Proceedings of the 2017 IEEE International Conference on Data Mining, 2017

Multi-view Clustering with Graph Embedding for Connectome Analysis.
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

2016
Spatio-Temporal Tensor Analysis for Whole-Brain fMRI Classification.
Proceedings of the 2016 SIAM International Conference on Data Mining, 2016

Multi-graph Clustering Based on Interior-Node Topology with Applications to Brain Networks.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2016

2013
Research on Contrastive Viewpoint Summarization for Opinionated Texts.
J. Interconnect. Networks, 2013

2012
Research on Extension LexRank in Summarization for Opinionated Texts.
Proceedings of the 13th International Conference on Parallel and Distributed Computing, 2012

2010
Online Advertising Regulatory Resources Integration: A Framework Based on SOA.
Proceedings of the International Conference on E-Business and E-Government, 2010


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