Guixiang Ma

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 46

Top Topics

Graph Representation

Survival Analysis

Top Venues

Pattern Recognit.

Publications

Jibing Gong, Yi Zhao, Jinye Zhao, Jin Zhang, Guixiang Ma, Shaojie Zheng, Shuying Du, Jie Tang
Personalized recommendation via inductive spatiotemporal graph neural network. Pattern Recognit. 145 (2024)
Shukai Duan, Heng Ping, Nikos Kanakaris, Xiongye Xiao, Peiyu Zhang, Panagiotis Kyriakis, Nesreen K. Ahmed, Guixiang Ma, Mihai Capota, Shahin Nazarian, Theodore L. Willke, Paul Bogdan
A structure-aware framework for learning device placements on computation graphs. CoRR (2024)
Haoteng Tang, Guixiang Ma, Lei Guo, Xiyao Fu, Heng Huang, Liang Zhan
Contrastive Brain Network Learning via Hierarchical Signed Graph Pooling Model. IEEE Trans. Neural Networks Learn. Syst. 35 (6) (2024)
Guixiang Ma, Vy A. Vo, Theodore L. Willke, Nesreen K. Ahmed
Memory-Augmented Graph Neural Networks: A Brain-Inspired Review. IEEE Trans. Artif. Intell. 5 (5) (2024)
Chao Chen, Chenghua Guo, Guixiang Ma, Ming Zeng, Xi Zhang, Sihong Xie
Robust Ranking Explanations. CoRR (2023)
Zhihao Tang, Li Liu, Yifan Shen, Zongyi Chen, Guixiang Ma, Jiyan Dong, Xujie Sun, Xi Zhang, Chaozhuo Li, Qingfeng Zheng, Lin Yang
Explainable survival analysis with uncertainty using convolution-involved vision transformer. Comput. Medical Imaging Graph. 110 (2023)
Yafang Li, Wenbo Wang, Guixiang Ma, Baokai Zu
Community-Enhanced Contrastive Siamese Networks for Graph Representation Learning. KSEM (1) (2023)
Haozhe Jia, Haoteng Tang, Guixiang Ma, Weidong Cai, Heng Huang, Liang Zhan, Yong Xia
A convolutional neural network with pixel-wise sparse graph reasoning for COVID-19 lesion segmentation in CT images. Comput. Biol. Medicine 155 (2023)
Shukai Duan, Nikos Kanakaris, Xiongye Xiao, Heng Ping, Chenyu Zhou, Nesreen K. Ahmed, Guixiang Ma, Mihai Capota, Theodore L. Willke, Shahin Nazarian, Paul Bogdan
Leveraging Reinforcement Learning and Large Language Models for Code Optimization. CoRR (2023)
Runze Wang, Zehua Zhang, Yueqin Zhang, Zhongyuan Jiang, Shilin Sun, Guixiang Ma
MolHF: Molecular Heterogeneous Attributes Fusion for Drug-Target Affinity Prediction on Heterogeneity. IEICE Trans. Inf. Syst. 106 (5) (2023)
Guixiang Ma, Vy A. Vo, Theodore L. Willke, Nesreen K. Ahmed
Augmenting Recurrent Graph Neural Networks with a Cache. KDD (2023)
Zehua Zhang, Shilin Sun, Guixiang Ma, Caiming Zhong
Line graph contrastive learning for link prediction. Pattern Recognit. 140 (2023)
Yifan Shen, Li Liu, Zhihao Tang, Zongyi Chen, Guixiang Ma, Jiyan Dong, Xi Zhang, Lin Yang, Qingfeng Zheng
Explainable Survival Analysis with Convolution-Involved Vision Transformer. AAAI (2022)
Chao Chen, Chenghua Guo, Guixiang Ma, Xi Zhang, Sihong Xie
Robust Ranking Explanations. CoRR (2022)
Zehua Zhang, Shilin Sun, Guixiang Ma, Caiming Zhong
Line Graph Contrastive Learning for Link Prediction. CoRR (2022)
Yao Xiao, Guixiang Ma, Nesreen K. Ahmed, Mihai Capota, Theodore L. Willke, Shahin Nazarian, Paul Bogdan
End-to-end Mapping in Heterogeneous Systems Using Graph Representation Learning. CoRR (2022)
Haoteng Tang, Guixiang Ma, Lei Guo, Xiyao Fu, Heng Huang, Liang Zhang
Contrastive Brain Network Learning via Hierarchical Signed Graph Pooling Model. CoRR (2022)
Mengzhu Sun, Xi Zhang, Jiaqi Zheng, Guixiang Ma
DDGCN: Dual Dynamic Graph Convolutional Networks for Rumor Detection on Social Media. AAAI (2022)
Guixiang Ma, Vy A. Vo, Theodore L. Willke, Nesreen K. Ahmed
Memory-Augmented Graph Neural Networks: A Neuroscience Perspective. CoRR (2022)
Vasimuddin Md, Sanchit Misra, Guixiang Ma, Ramanarayan Mohanty, Evangelos Georganas, Alexander Heinecke, Dhiraj D. Kalamkar, Nesreen K. Ahmed, Sasikanth Avancha
DistGNN: scalable distributed training for large-scale graph neural networks. SC (2021)
Guixiang Ma, Yao Xiao, Mihai Capota, Theodore L. Willke, Shahin Nazarian, Paul Bogdan, Nesreen K. Ahmed
Learning Code Representations Using Multifractal-based Graph Networks. IEEE BigData (2021)
Vasimuddin Md, Sanchit Misra, Guixiang Ma, Ramanarayan Mohanty, Evangelos Georganas, Alexander Heinecke, Dhiraj D. Kalamkar, Nesreen K. Ahmed, Sasikanth Avancha
DistGNN: Scalable Distributed Training for Large-Scale Graph Neural Networks. CoRR (2021)
Guixiang Ma, Nesreen K. Ahmed, Theodore L. Willke, Philip S. Yu
Deep graph similarity learning: a survey. Data Min. Knowl. Discov. 35 (3) (2021)
Chao Chen, Yifan Shen, Guixiang Ma, Xiangnan Kong, Srinivas Rangarajan, Xi Zhang, Sihong Xie
Self-learn to Explain Siamese Networks Robustly. ICDM (2021)
Haozhe Jia, Haoteng Tang, Guixiang Ma, Tom Weidong Cai, Heng Huang, Liang Zhan, Yong Xia
PSGR: Pixel-wise Sparse Graph Reasoning for COVID-19 Pneumonia Segmentation in CT Images. CoRR (2021)
Chao Chen, Yifan Shen, Guixiang Ma, Xiangnan Kong, Srinivas Rangarajan, Xi Zhang, Sihong Xie
Self-learn to Explain Siamese Networks Robustly. CoRR (2021)
Guixiang Ma, Yao Xiao, Theodore L. Willke, Nesreen K. Ahmed, Shahin Nazarian, Paul Bogdan
A Distributed Graph-Theoretic Framework for Automatic Parallelization in Multi-core Systems. MLSys (2021)
Haoteng Tang, Guixiang Ma, Lifang He, Heng Huang, Liang Zhan
CommPOOL: An interpretable graph pooling framework for hierarchical graph representation learning. Neural Networks 143 (2021)
Guixiang Ma, Yao Xiao, Theodore L. Willke, Nesreen K. Ahmed, Shahin Nazarian, Paul Bogdan
A Vertex Cut based Framework for Load Balancing and Parallelism Optimization in Multi-core Systems. CoRR (2020)
Haoteng Tang, Guixiang Ma, Yurong Chen, Lei Guo, Wei Wang, Bo Zeng, Liang Zhan
Adversarial Attack on Hierarchical Graph Pooling Neural Networks. CoRR (2020)
Yingtong Dou, Guixiang Ma, Philip S. Yu, Sihong Xie
Robust Spammer Detection by Nash Reinforcement Learning. CoRR (2020)
Yingtong Dou, Guixiang Ma, Philip S. Yu, Sihong Xie
Robust Spammer Detection by Nash Reinforcement Learning. KDD (2020)
Haoteng Tang, Guixiang Ma, Lifang He, Heng Huang, Liang Zhan
CommPOOL: An Interpretable Graph Pooling Framework for Hierarchical Graph Representation Learning. CoRR (2020)
Jiahao Liu, Guixiang Ma, Fei Jiang, Chun-Ta Lu, Philip S. Yu, Ann B. Ragin
Community-preserving Graph Convolutions for Structural and Functional Joint Embedding of Brain Networks. CoRR (2019)
Guixiang Ma, Nesreen K. Ahmed, Theodore L. Willke, Philip S. Yu
Deep Graph Similarity Learning: A Survey. CoRR (2019)
Guixiang Ma, Nesreen K. Ahmed, Theodore L. Willke, Dipanjan Sengupta, Michael W. Cole, Nicholas B. Turk-Browne, Philip S. Yu
Deep Graph Similarity Learning for Brain Data Analysis. CIKM (2019)
Jiahao Liu, Guixiang Ma, Fei Jiang, Chun-Ta Lu, Philip S. Yu, Ann B. Ragin
Community-preserving Graph Convolutions for Structural and Functional Joint Embedding of Brain Networks. IEEE BigData (2019)
Shuaijun Ge, Guixiang Ma, Sihong Xie, Philip S. Yu
Securing Behavior-based Opinion Spam Detection. IEEE BigData (2018)
Shuaijun Ge, Guixiang Ma, Sihong Xie, Philip S. Yu
Securing Behavior-based Opinion Spam Detection. CoRR (2018)
Guixiang Ma, Nesreen K. Ahmed, Theodore L. Willke, Dipanjan Sengupta, Michael W. Cole, Nicholas B. Turk-Browne, Philip S. Yu
Similarity Learning with Higher-Order Proximity for Brain Network Analysis. CoRR (2018)
Guixiang Ma, Chun-Ta Lu, Lifang He, Philip S. Yu, Ann B. Ragin
Multi-view Graph Embedding with Hub Detection for Brain Network Analysis. CoRR (2017)
Guixiang Ma, Chun-Ta Lu, Lifang He, Philip S. Yu, Ann B. Ragin
Multi-view Graph Embedding with Hub Detection for Brain Network Analysis. ICDM (2017)
Lifang He, Chun-Ta Lu, Guixiang Ma, Shen Wang, LinLin Shen, Philip S. Yu, Ann B. Ragin
Kernelized Support Tensor Machines. ICML (2017)
Guixiang Ma, Lifang He, Chun-Ta Lu, Weixiang Shao, Philip S. Yu, Alex D. Leow, Ann B. Ragin
Multi-view Clustering with Graph Embedding for Connectome Analysis. CIKM (2017)
Guixiang Ma, Lifang He, Bokai Cao, Jiawei Zhang, Philip S. Yu, Ann B. Ragin
Multi-graph Clustering Based on Interior-Node Topology with Applications to Brain Networks. ECML/PKDD (1) (2016)
Guixiang Ma, Lifang He, Chun-Ta Lu, Philip S. Yu, Linlin Shen, Ann B. Ragin
Spatio-Temporal Tensor Analysis for Whole-Brain fMRI Classification. SDM (2016)
Xu Liang, Youli Qu, Guixiang Ma
Research on Contrastive Viewpoint Summarization for Opinionated Texts. J. Interconnect. Networks 14 (3) (2013)
Xu Liang, Youli Qu, Guixiang Ma
Research on Extension LexRank in Summarization for Opinionated Texts. PDCAT (2012)
Yinbin Liu, Guixiang Ma
Online Advertising Regulatory Resources Integration: A Framework Based on SOA. ICEE (2010)