Yao Ma, Wei Jin, Jiliang Tang, Yiqi Wang, Tyler Derr
Graph Neural Networks: Models and Applications
AAAI Tutorial Forum, 2021
Yao Ma, Yiqi Wang, Tyler Derr, Lingfei Wu, Tengfei Ma, Yu Rong, Tingyang Xu, Junzhou Huang, Wenbing Huang, Hong Cheng
Deep Graph Learning: Foundations, Advances and Applications
In Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (KDD), 2020
Yao Ma, Wei Jin, Jiliang Tang, Lingfei Wu, Tengfei Ma
Graph Neural Networks: Models and Applications
AAAI Tutorial Forum, 2020
Yao Ma and Jiliang Tang
Deep Learning on Graphs
Cambridge University Press, 2021
Yao Ma, Charu Aggarwal, Jiliang Tang
Feature Engineering For Data Streams
Book Chapter in Feature Engineering for Machine Learning and Data Analytics, CRC Press, 2017
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
arXiv:2402.15680
Hongliang Chi, Wei Jin, Charu Aggarwal, Yao Ma
Precedence-Constrained Winter Value for Effective Graph Data Valuation
arXiv:2402.01943
Haitao Mao, Zhikai Chen, Wenzhuo Tang, Jianan Zhao, Yao Ma, Tong Zhao, Neil Shah, Mikhail Galkin, Jiliang Tang
Graph Foundation Models
arXiv:2402.02216
Haitao Mao, Guangliang Liu, Yao Ma, Rongrong Wang, Jiliang Tang
A Data Generation Perspective to the Mechanism of In-Context Learning
arXiv:2402.02212
Hongjia Xu, Liangliang Zhang, Yao Ma, Sheng Zhou, Zhuonan Zheng, Bu Jiajun
A Survey on Graph Condensation
arXiv:2402.02000
Tianyi Zhao, Liangliang Zhang, Yao Ma, Lu Cheng
A Survey on Safe Multi-Modal Learning System
arXiv:2402.05355
Yiqi Wang, Yao Ma, Charu Aggarwal, Jiliang Tang
Non-IID Graph Neural Networks
arXiv:2005.12386
Zhiwei Wang, Yao Ma, Zitao Liu, Jiliang Tang
R-Transformer: Recurrent Neural Network Enhanced Transformer
arXiv:1907.05572
Zhiwei Wang, Yao Ma, Dawei Yin, Jiliang Tang
Linked Reccurent Neural Networks
arXiv:1808.06170
Yao Ma, Suhang Wang, Zhaochun Ren, Dawei Yin, Jiliang Tang
Preserving Local and Global Inoformation for Network Embedding
arXiv:1710.07266
Hongliang Chi, Cong Qi, Suhang Wang, Yao Ma
Active Learning for Graphs with Noisy Structures.
In Proceedings of the SIAM International Conference on Data Mining (SDM), 2024
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?
To Appear in Thirty-seventh Conference on Neural Information Processing Systems, Orleans, United States, 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
To Appear in Thirty-seventh Conference on Neural Information Processing Systems, Orleans, United States, 2023
Zhimeng Guo, Jialiang Li, Teng Xiao, Yao Ma, Suhang Wang
Towards Fair Graph Neural Networks via Graph Counterfactual
To Appear in Proceedings of 32nd ACM International Conference on Information and Knowledge Management (CIKM 2023)
Mahmoud Nazzal, Issa Khalil, Abdallah Khreishah, NhatHai Phan, Yao Ma
Multi-Instance Adversarial Attack on GNN-Based Malicious Domain Detection
To Appear in the 45th IEEE Symposium on Security and Privacy, May 20-23, 2024.
Harry Shomer, Wei Jin, Juanhui Li, and Yao Ma, Jiliang Tang
Learning Representations for Hyper-Relational Knowledge Graphs
The 2023 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, Marrakesh, Morocco, 6-9 November 2023
Juanhui Li, Harry Shomer, Jiayuan Ding, and Yiqi Wang, Yao Ma, Neil Shah, Jiliang Tang, Dawei Yin
Are Graph Neural Networks Really Helpful for Knowledge Graph Completion?
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics, ACL 2023, Toronto, Cananda, 2023
Juanhui Li, Yao Ma, Wei Zeng, Suqi Cheng, Jiliang Tang, Shuaiqiang Wang, Dawei Yin
Graph Enhanced BERT for Query Understanding
Proceedings of the 46th International ACM SIGIR conference on research and development in Information Retrieval, SIGIR 2023.
Khang Tran, Phung Lai, NhatHai Phan, Yao Ma, Abdallah Khreishah, Issa Khalil, My T. Thai, Xintao Wu.
Heterogeneous Randomized Response for Differential Privacy in Graph Neural Networks
In Proceedings of the 2022 IEEE International Conference on Big Data, 2022
Wei Jin, Xiaorui Liu, Yao Ma, Charu Aggarwal, Jiliang Tang
Feature Overcorrelation in Deep Graph Neural Networks: A New Perspective
In Proceedings of 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (SIGKDD 2022)
Yao Ma, Xiaorui Liu, Neil Shah, Jiliang Tang
Is Homophily a Necessity for Graph Neural Networks
International Conference on Learning Representations (ICLR 2022)
Wei Jin, Xiaorui Liu, Xiangyu Zhao, Yao Ma, Neil Shah, Jiliang Tang
Automated Self-Supervised Learning for Graphs
International Conference on Learning Representations (ICLR 2022)
Yao Ma, Xiaorui Liu, Tong Zhao, Yozen Liu, Jiliang Tang
A Unified View of Graph Neural Networks as Graph Signal Denoising
In Proceedings of the 2021 ACM on Conference on Information and Knowledge Management (CIKM), 2021
Wei Jin, Xiaorui Liu, Yao Ma, Tyler Derr, Charu Aggarwal, Jiliang Tang
Graph Feature Gating Networks
In Proceedings of the 2021 ACM on Conference on Information and Knowledge Management (CIKM), 2021
Yao Ma, Suhang Wang, Tyler Derr, Lingfei Wu, Jiliang Tang
Attacking Graph Convolutional Networks via Rewiring
In Proceedings of 27th ACM SIGKDDConference on Knowledge Discovery and Data Mining (SIGKDD), 2021
Xiaorui Liu, Wei Jin, Yao Ma, Yaxin Li, Hua Liu, Yiqi Wang, Ming Yan, Jiliang Tang.
Elastic Graph Neural Networks
International Conference on Machine Learning (ICML), 2021.
Wenqi Fan, Tyler Derr, Xiangyu Zhao, Yao Ma, Hui Liu, Jianping Wang, Jiliang Tang, Qing Li.
CopyAttack: Attacking Black-box Recommendations via Copying Cross-domain User Profiles
In Proceedings of the IEEE 37th International Conference on Data Engineering (ICDE), 2021.
Yao Ma, Juanhui Li, Yiqi Wang, Charu Aggarwal, Changdong Wang, Jiliang Tang
Graph Pooling with Representativeness
To appear in Proceedings of 20th IEEE International Conference on Data Mining (ICDM), 2020
Wentao Wang, Tyler Derr, Yao Ma, Suhang Wang, Hui Liu, Zitao Liu, Jiliang Tang
Learning from Incomplete Labeled Data via Adversarial Data Generation
To appear in Proceedings of 20th IEEE International Conference on Data Mining (ICDM), 2020
Wei Jin, Yao Ma, Xiaorui Liu, Xianfeng Tang, Suhang Wang, Jiliang Tang
Graph Structure Learning for Robust Graph Neural Networks
In Proceedings of 26th ACM SIGKDDConference on Knowledge Discovery and Data Mining (SIGKDD),2020
Wenqi Fan, Yao Ma, Qing Li, Yuan He, Eric Zhao, Jiliang Tang, Dawei Yin
A Graph Neural Network Framework for Social Recommendations
IEEE Transactions on Knowledge and Data Engineering. 2020 Jul 13.
Yao Ma, Ziyi Ding, Zhaochun Ren, Jiliang Tang, Dawei Yin
Streamining Graph Neural Networks
In Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 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
In Proceedings of the 29th International Conference on World Wide Web Companion (WWW), 2020
Wenqi Fan, Yao Ma, Han Xu, Xiaorui Liu, Jianping Wang, Qing Li, Jiliang Tang
Deep Adversarial Canonical Correlation Analysis
In Proceedings of the 2020 SIAM International Conference on Data Mining (SDM 2020), 2020.
Tyler Derr, Yao Ma, Wenqi Fan, Xiaorui Liu, Charu Aggarwal, Jiliang Tang
Epidemic Graph Convolutional Networks
In Proceedings of 13th ACM Conference on Web Search and Data Mining (WSDM), 2020
Wenqi Fan, Yao Ma, Dawei Yin, Jianping Wang, Jiliang Tang, Qing Li
Deep Social Collaborative Filtering
In Proceedings of the 13th ACM Conference on Recommender Systems (RecSys), 2019
Han Xu, Yao Ma, Haochen Liu, Debayan Deb, Hui Liu, Jiliang Tang, Anil Jain
Adversarial Attacks and Defenses in Images, Graphs and Text: A Review
International Journal of Automation and Computing, 17(2), pp.151-178.
Wenqi Fan, Tyler Derr, Yao Ma, Jianping Wang, Jiliang Tang, Qing Li
Deep Adversarial Social Recommendation
In Proceedings of the International Joint Conference on Artificial Intelligence (IJCAI), 2019
Yao Ma, Suhang Wang, Charu C. Aggarwal, Jiliang Tang
Graph Convolutional Networks with EigenPooling
In Proceedings of 25th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (SIGKDD), 2019
Wenqi Fan, Yao Ma, Qing Li, Yuan He, Eric Zhao, Jiliang Tang, Dawei Yin
Graph Neural Networks for Social Recommendation
In Proceedings of the 28th International Conference on World Wide Web Companion, 2019
Yao Ma, Suhang Wang, Charu C. Aggarwal, Dawei Yin, Jiliang Tang
Multi-dimensional Graph Convolutional Networks
In Proceedings of SIAM International Conference on Data Mining (SDM), 2019
Tyler Derr, Yao Ma, Jiliang Tang
Signed Graph Convolutional Neural Networks
In Proceedings of the IEEE International Conference on Data Mining (ICDM), 2018
Yao Ma, Suhang Wang, Jiliang Tang
Local and Global Information Preserved Network Embedding
In Proceedings of IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM), 2018
Yao Ma, Zhaochun Ren, Ziheng Jiang, Dawei Yin, Jiliang Tang
Multidimensional Network Embedding with Hierarchical Structures
In Proceedings of the 11th ACM International Conference on Web Search and Data Mining (WSDM), 2018
Yao Ma, Suhang Wang, Jiliang Tang
Network Embedding with Centrality Information
Ph.D Forum, The IEEE International Conference on Data Mining (ICDM), 2017