Yao Ma

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 88

Top Topics

Link Prediction

Graph Structure

Top Venues

Publications

Qian Ma, Hongliang Chi, Hengrui Zhang, Kay Liu, Zhiwei Zhang, Lu Cheng, Suhang Wang, Philip S. Yu, Yao Ma
Overcoming Pitfalls in Graph Contrastive Learning Evaluation: Toward Comprehensive Benchmarks. CoRR (2024)
Inwon Kang, Maruf Ahmed Mridul, Abraham Sanders, Yao Ma, Thilanka Munasinghe, Aparna Gupta, Oshani Seneviratne
Deciphering Crypto Twitter. WebSci (2024)
Lin Wang, Wenqi Fan, Jiatong Li, Yao Ma, Qing Li
Fast Graph Condensation with Structure-based Neural Tangent Kernel. WWW (2024)
Hongliang Chi, Yao Ma
Enhancing Contrastive Learning on Graphs with Node Similarity. KDD (2024)
Haitao Mao, Guangliang Liu, Yao Ma, Rongrong Wang, Jiliang Tang
A Data Generation Perspective to the Mechanism of In-Context Learning. CoRR (2024)
Xiaowei Qian, Zhimeng Guo, Jialiang Li, Haitao Mao, Bingheng Li, Suhang Wang, Yao Ma
Addressing Shortcomings in Fair Graph Learning Datasets: Towards a New Benchmark. CoRR (2024)
Hongliang Chi, Cong Qi, Suhang Wang, Yao Ma
Active Learning for Graphs with Noisy Structures. SDM (2024)
Tianyi Zhao, Liangliang Zhang, Yao Ma, Lu Cheng
A Survey on Safe Multi-Modal Learning Systems. KDD (2024)
Haitao Mao, Juanhui Li, Harry Shomer, Bingheng Li, Wenqi Fan, Yao Ma, Tong Zhao, Neil Shah, Jiliang Tang
Revisiting Link Prediction: a data perspective. ICLR (2024)
Tyler Derr, Yao Ma, Kaize Ding, Tong Zhao, Nesreen K. Ahmed
The 5th International Workshop on Machine Learning on Graphs (MLoG). WSDM (2024)
Wei Jin, Haohan Wang, Daochen Zha, Qiaoyu Tan, Yao Ma, Sharon Li, Su-In Lee
DCAI: Data-centric Artificial Intelligence. WWW (Companion Volume) (2024)
Xiaowei Qian, Zhimeng Guo, Jialiang Li, Haitao Mao, Bingheng Li, Suhang Wang, Yao Ma
Addressing Shortcomings in Fair Graph Learning Datasets: Towards a New Benchmark. KDD (2024)
Harry Shomer, Yao Ma, Haitao Mao, Juanhui Li, Bo Wu, Jiliang Tang
LPFormer: An Adaptive Graph Transformer for Link Prediction. KDD (2024)
Bingheng Li, Linxin Yang, Yupeng Chen, Senmiao Wang, Qian Chen, Haitao Mao, Yao Ma, Akang Wang, Tian Ding, Jiliang Tang, Ruoyu Sun
PDHG-Unrolled Learning-to-Optimize Method for Large-Scale Linear Programming. CoRR (2024)
Tyler Derr, Yao Ma, Benedek Rozemberczki, Neil Shah, Shirui Pan
The 3rd International Workshop on Machine Learning on Graphs (MLoG). WSDM (2023)
Mahmoud Nazzal, Issa Khalil, Abdallah Khreishah, NhatHai Phan, Yao Ma
Multi-Instance Adversarial Attack on GNN-Based Malicious Domain Detection. CoRR (2023)
Harry Shomer, Yao Ma, Juanhui Li, Bo Wu, Charu C. Aggarwal, Jiliang Tang
Distance-Based Propagation for Efficient Knowledge Graph Reasoning. CoRR (2023)
Wenqi Fan, Xiangyu Zhao, Qing Li, Tyler Derr, Yao Ma, Hui Liu, Jianping Wang, Jiliang Tang
Adversarial Attacks for Black-Box Recommender Systems via Copying Transferable Cross-Domain User Profiles. IEEE Trans. Knowl. Data Eng. 35 (12) (2023)
Lin Wang, Wenqi Fan, Jiatong Li, Yao Ma, Qing Li
Fast Graph Condensation with Structure-based Neural Tangent Kernel. CoRR (2023)
Harry Shomer, Yao Ma, Juanhui Li, Bo Wu, Charu C. Aggarwal, Jiliang Tang
Distance-Based Propagation for Efficient Knowledge Graph Reasoning. EMNLP (2023)
Haitao Mao, Zhikai Chen, Wei Jin, Haoyu Han, Yao Ma, Tong Zhao, Neil Shah, Jiliang Tang
Demystifying Structural Disparity in Graph Neural Networks: Can One Size Fit All? CoRR (2023)
Haitao Mao, Juanhui Li, Harry Shomer, Bingheng Li, Wenqi Fan, Yao Ma, Tong Zhao, Neil Shah, Jiliang Tang
Revisiting Link Prediction: A Data Perspective. CoRR (2023)
Juanhui Li, Wei Zeng, Suqi Cheng, Yao Ma, Jiliang Tang, Shuaiqiang Wang, Dawei Yin
Graph Enhanced BERT for Query Understanding. SIGIR (2023)
Juanhui Li, Harry Shomer, Jiayuan Ding, Yiqi Wang, Yao Ma, Neil Shah, Jiliang Tang, Dawei Yin
Are Message Passing Neural Networks Really Helpful for Knowledge Graph Completion? ACL (1) (2023)
Harry Shomer, Wei Jin, Juanhui Li, Yao Ma, Hui Liu
Learning Representations for Hyper-Relational Knowledge Graphs. ASONAM (2023)
Harry Shomer, Yao Ma, Haitao Mao, Juanhui Li, Bo Wu, Jiliang Tang
Adaptive Pairwise Encodings for Link Prediction. CoRR (2023)
Zhimeng Guo, Jialiang Li, Teng Xiao, Yao Ma, Suhang Wang
Improving Fairness of Graph Neural Networks: A Graph Counterfactual Perspective. CoRR (2023)
Juanhui Li, Harry Shomer, Haitao Mao, Shenglai Zeng, Yao Ma, Neil Shah, Jiliang Tang, Dawei Yin
Evaluating Graph Neural Networks for Link Prediction: Current Pitfalls and New Benchmarking. NeurIPS (2023)
Zhimeng Guo, Jialiang Li, Teng Xiao, Yao Ma, Suhang Wang
Towards Fair Graph Neural Networks via Graph Counterfactual. CIKM (2023)
Yiqi Wang, Yao Ma, Wei Jin, Chaozhuo Li, Charu Aggarwal, Jiliang Tang
Customized Graph Nerual Networks. IEEE Data Eng. Bull. 46 (2) (2023)
Haitao Mao, Zhikai Chen, Wei Jin, Haoyu Han, Yao Ma, Tong Zhao, Neil Shah, Jiliang Tang
Demystifying Structural Disparity in Graph Neural Networks: Can One Size Fit All? NeurIPS (2023)
Juanhui Li, Harry Shomer, Haitao Mao, Shenglai Zeng, Yao Ma, Neil Shah, Jiliang Tang, Dawei Yin
Evaluating Graph Neural Networks for Link Prediction: Current Pitfalls and New Benchmarking. CoRR (2023)
Rui Miao, Yintao Yang, Yao Ma, Xin Juan, Haotian Xue, Jiliang Tang, Ying Wang, Xin Wang
Negative samples selecting strategy for graph contrastive learning. Inf. Sci. 613 (2022)
Wei Jin, Xiaorui Liu, Yao Ma, Charu C. Aggarwal, Jiliang Tang
Feature Overcorrelation in Deep Graph Neural Networks: A New Perspective. CoRR (2022)
Wei Jin, Xiaorui Liu, Yao Ma, Charu C. Aggarwal, Jiliang Tang
Feature Overcorrelation in Deep Graph Neural Networks: A New Perspective. KDD (2022)
Juan-Hui Li, Harry Shomer, Jiayuan Ding, Yiqi Wang, Yao Ma, Neil Shah, Jiliang Tang, Dawei Yin
Are Graph Neural Networks Really Helpful for Knowledge Graph Completion? CoRR (2022)
Wenqi Fan, Yao Ma, Qing Li, Jianping Wang, Guoyong Cai, Jiliang Tang, Dawei Yin
A Graph Neural Network Framework for Social Recommendations. IEEE Trans. Knowl. Data Eng. 34 (5) (2022)
Harry Shomer, Wei Jin, Juan-Hui Li, Yao Ma, Jiliang Tang
Learning Representations for Hyper-Relational Knowledge Graphs. CoRR (2022)
Juan-Hui Li, Yao Ma, Wei Zeng, Suqi Cheng, Jiliang Tang, Shuaiqiang Wang, Dawei Yin
Graph Enhanced BERT for Query Understanding. CoRR (2022)
Wei Jin, Xiaorui Liu, Xiangyu Zhao, Yao Ma, Neil Shah, Jiliang Tang
Automated Self-Supervised Learning for Graphs. ICLR (2022)
Yao Ma, Xiaorui Liu, Neil Shah, Jiliang Tang
Is Homophily a Necessity for Graph Neural Networks? ICLR (2022)
Wenqi Fan, Tyler Derr, Xiangyu Zhao, Yao Ma, Hui Liu, Jianping Wang, Jiliang Tang, Qing Li
Attacking Black-box Recommendations via Copying Cross-domain User Profiles. ICDE (2021)
Yao Ma, Xiaorui Liu, Tong Zhao, Yozen Liu, Jiliang Tang, Neil Shah
A Unified View on Graph Neural Networks as Graph Signal Denoising. CIKM (2021)
Xiaorui Liu, Wei Jin, Yao Ma, Yaxin Li, Hua Liu, Yiqi Wang, Ming Yan, Jiliang Tang
Elastic Graph Neural Networks. ICML (2021)
Wei Jin, Tyler Derr, Yiqi Wang, Yao Ma, Zitao Liu, Jiliang Tang
Node Similarity Preserving Graph Convolutional Networks. WSDM (2021)
Yao Ma, Suhang Wang, Tyler Derr, Lingfei Wu, Jiliang Tang
Graph Adversarial Attack via Rewiring. KDD (2021)
Xiaorui Liu, Wei Jin, Yao Ma, Yaxin Li, Hua Liu, Yiqi Wang, Ming Yan, Jiliang Tang
Elastic Graph Neural Networks. CoRR (2021)
Wei Jin, Yao Ma, Yiqi Wang, Xiaorui Liu, Jiliang Tang, Yukuo Cen, Jiezhong Qiu, Jie Tang, Chuan Shi, Yanfang Ye, Jiawei Zhang, Philip S. Yu
Graph Representation Learning: Foundations, Methods, Applications and Systems. KDD (2021)
Wei Jin, Xiaorui Liu, Yao Ma, Tyler Derr, Charu C. Aggarwal, Jiliang Tang
Graph Feature Gating Networks. CIKM (2021)
Wei Jin, Xiaorui Liu, Yao Ma, Tyler Derr, Charu C. Aggarwal, Jiliang Tang
Graph Feature Gating Networks. CoRR (2021)
Wei Jin, Xiaorui Liu, Xiangyu Zhao, Yao Ma, Neil Shah, Jiliang Tang
Automated Self-Supervised Learning for Graphs. CoRR (2021)
Xiaorui Liu, Jiayuan Ding, Wei Jin, Han Xu, Yao Ma, Zitao Liu, Jiliang Tang
Graph Neural Networks with Adaptive Residual. NeurIPS (2021)
Yao Ma, Xiaorui Liu, Neil Shah, Jiliang Tang
Is Homophily a Necessity for Graph Neural Networks? CoRR (2021)
Yao Ma, Xiaorui Liu, Tong Zhao, Yozen Liu, Jiliang Tang, Neil Shah
A Unified View on Graph Neural Networks as Graph Signal Denoising. CoRR (2020)
Wentao Wang, Tyler Derr, Yao Ma, Suhang Wang, Hui Liu, Zitao Liu, Jiliang Tang
Learning from Incomplete Labeled Data via Adversarial Data Generation. ICDM (2020)
Xiaoyang Wang, Yao Ma, Yiqi Wang, Wei Jin, Xin Wang, Jiliang Tang, Caiyan Jia, Jian Yu
Traffic Flow Prediction via Spatial Temporal Graph Neural Network. WWW (2020)
Wenqi Fan, Tyler Derr, Xiangyu Zhao, Yao Ma, Hui Liu, Jianping Wang, Jiliang Tang, Qing Li
Attacking Black-box Recommendations via Copying Cross-domain User Profiles. CoRR (2020)
Wei Jin, Yao Ma, Xiaorui Liu, Xianfeng Tang, Suhang Wang, Jiliang Tang
Graph Structure Learning for Robust Graph Neural Networks. CoRR (2020)
Han Xu, Yao Ma, Haochen Liu, Debayan Deb, Hui Liu, Jiliang Tang, Anil K. Jain
Adversarial Attacks and Defenses in Images, Graphs and Text: A Review. Int. J. Autom. Comput. 17 (2) (2020)
Juan-Hui Li, Yao Ma, Yiqi Wang, Charu C. Aggarwal, Chang-Dong Wang, Jiliang Tang
Graph Pooling with Representativeness. ICDM (2020)
Tyler Derr, Yao Ma, Wenqi Fan, Xiaorui Liu, Charu C. Aggarwal, Jiliang Tang
Epidemic Graph Convolutional Network. WSDM (2020)
Yu Rong, Tingyang Xu, Junzhou Huang, Wenbing Huang, Hong Cheng, Yao Ma, Yiqi Wang, Tyler Derr, Lingfei Wu, Tengfei Ma
Deep Graph Learning: Foundations, Advances and Applications. KDD (2020)
Wei Jin, Tyler Derr, Yiqi Wang, Yao Ma, Zitao Liu, Jiliang Tang
Node Similarity Preserving Graph Convolutional Networks. CoRR (2020)
Wei Jin, Yao Ma, Xiaorui Liu, Xianfeng Tang, Suhang Wang, Jiliang Tang
Graph Structure Learning for Robust Graph Neural Networks. KDD (2020)
Yiqi Wang, Yao Ma, Charu C. Aggarwal, Jiliang Tang
Non-IID Graph Neural Networks. CoRR (2020)
Yao Ma, Ziyi Guo, Zhaochun Ren, Jiliang Tang, Dawei Yin
Streaming Graph Neural Networks. SIGIR (2020)
Wenqi Fan, Yao Ma, Han Xu, Xiaorui Liu, Jianping Wang, Qing Li, Jiliang Tang
Deep Adversarial Canonical Correlation Analysis. SDM (2020)
Wenqi Fan, Yao Ma, Dawei Yin, Jianping Wang, Jiliang Tang, Qing Li
Deep social collaborative filtering. RecSys (2019)
Wenqi Fan, Yao Ma, Qing Li, Yuan He, Yihong Eric Zhao, Jiliang Tang, Dawei Yin
Graph Neural Networks for Social Recommendation. WWW (2019)
Wenqi Fan, Tyler Derr, Yao Ma, Jianping Wang, Jiliang Tang, Qing Li
Deep Adversarial Social Recommendation. CoRR (2019)
Wenqi Fan, Yao Ma, Dawei Yin, Jianping Wang, Jiliang Tang, Qing Li
Deep Social Collaborative Filtering. CoRR (2019)
Wenqi Fan, Tyler Derr, Yao Ma, Jianping Wang, Jiliang Tang, Qing Li
Deep Adversarial Social Recommendation. IJCAI (2019)
Zhiwei Wang, Yao Ma, Zitao Liu, Jiliang Tang
R-Transformer: Recurrent Neural Network Enhanced Transformer. CoRR (2019)
Yao Ma, Suhang Wang, Charu C. Aggarwal, Jiliang Tang
Graph Convolutional Networks with EigenPooling. CoRR (2019)
Wenqi Fan, Yao Ma, Qing Li, Yuan He, Yihong Eric Zhao, Jiliang Tang, Dawei Yin
Graph Neural Networks for Social Recommendation. CoRR (2019)
Yao Ma, Suhang Wang, Lingfei Wu, Jiliang Tang
Attacking Graph Convolutional Networks via Rewiring. CoRR (2019)
Han Xu, Yao Ma, Haochen Liu, Debayan Deb, Hui Liu, Jiliang Tang, Anil K. Jain
Adversarial Attacks and Defenses in Images, Graphs and Text: A Review. CoRR (2019)
Yao Ma, Suhang Wang, Charu C. Aggarwal, Jiliang Tang
Graph Convolutional Networks with EigenPooling. KDD (2019)
Yao Ma, Suhang Wang, Charu C. Aggarwal, Dawei Yin, Jiliang Tang
Multi-dimensional Graph Convolutional Networks. SDM (2019)
Tyler Derr, Yao Ma, Jiliang Tang
Signed Graph Convolutional Networks. ICDM (2018)
Yao Ma, Ziyi Guo, Zhaochun Ren, Yihong Eric Zhao, Jiliang Tang, Dawei Yin
Dynamic Graph Neural Networks. CoRR (2018)
Yao Ma, Suhang Wang, Charu C. Aggarwal, Dawei Yin, Jiliang Tang
Multi-dimensional Graph Convolutional Networks. CoRR (2018)
Yao Ma, Zhaochun Ren, Ziheng Jiang, Jiliang Tang, Dawei Yin
Multi-Dimensional Network Embedding with Hierarchical Structure. WSDM (2018)
Tyler Derr, Yao Ma, Jiliang Tang
Signed Graph Convolutional Network. CoRR (2018)
Zhiwei Wang, Yao Ma, Dawei Yin, Jiliang Tang
Linked Recurrent Neural Networks. CoRR (2018)
Yao Ma, Suhang Wang, Jiliang Tang
Local and Global Information Preserved Network Embedding. ASONAM (2018)
Yao Ma, Suhang Wang, Zhaochun Ren, Dawei Yin, Jiliang Tang
Preserving Local and Global Information for Network Embedding. CoRR (2017)
Yao Ma, Suhang Wang, Jiliang Tang
Network Embedding with Centrality Information. ICDM Workshops (2017)