Publications

Tutorials

• 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

Books or Book Chapters

• Yao Ma and Jiliang Tang
  Deep Learning on Graphs
  Contract with Cambridge University Press, 2020

• 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

Preprints

• Yao Ma, Xiaorui Liu, Neil Shah, Jiliang Tang
  Is Homophily a Necessity for Graph Neural Networks
  arXiv: 2106.06134

• Yao Ma, Xiaorui Liu, Tong Zhao, Yozen Liu, Jiliang Tang, Neil Shah
  A Unified Framework on Graph Neural Networks as Graph Signal Denoising
  arXiv: 2010.01777

• 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 [code]
  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

Conference and Journal Publications

• 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 [code]
  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 [code]
  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 [code]
  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 [code]
  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 [code]
  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