Yao Ma

发表

Deep social collaborative filtering

Yao Ma, Jiliang Tang, Jianping Wang, 2019, RecSys.

Attacking Black-box Recommendations via Copying Cross-domain User Profiles

Jiliang Tang, Hui Liu, Tyler Derr, 2020, 2021 IEEE 37th International Conference on Data Engineering (ICDE).

Attacking Graph Convolutional Networks via Rewiring

Yao Ma, 2019 .

Attacking Graph Convolutional Networks via Rewiring

Yao Ma, 2019 .

I S H OMOPHILY A N ECESSITY FOR G RAPH N EURAL N ETWORKS ?

Jiliang Tang, Yao Ma, IS Homophily, 2022 .

Feature Overcorrelation in Deep Graph Neural Networks: A New Perspective

Jiliang Tang, C. Aggarwal, Wei Jin, 2022, KDD.

Are Graph Neural Networks Really Helpful for Knowledge Graph Completion?

Jiliang Tang, Yiqi Wang, Neil Shah, 2022, ArXiv.

Negative samples selecting strategy for graph contrastive learning

Jiliang Tang, Y. Yang, Yao Ma, 2022, Inf. Sci..

Graph Structure Learning for Robust Graph Neural Networks

Suhang Wang, Jiliang Tang, Xiaorui Liu, 2020, KDD.

Deep Adversarial Social Recommendation pdf

Jiliang Tang, Jianping Wang, Yao Ma, 2019, IJCAI.

Graph Neural Networks for Social Recommendation

Yuan He, Qing Li, Jiliang Tang, 2019, WWW.

Multi-Dimensional Network Embedding with Hierarchical Structure

Zhaochun Ren, Jiliang Tang, Dawei Yin, 2018, WSDM.

Epidemic Graph Convolutional Network

Charu C. Aggarwal, Jiliang Tang, Wenqi Fan, 2020, WSDM.

Elastic Graph Neural Networks

Jiliang Tang, Yao Ma, Xiaorui Liu, 2021, ICML.

Jiliang Tang, Yiqi Wang, Zitao Liu, 2020, WSDM.

Traffic Flow Prediction via Spatial Temporal Graph Neural Network

Xiaoyang Wang, Xin Wang, Jian Yu, 2020, WWW.

Graph Adversarial Attack via Rewiring

Jiliang Tang, Yao Ma, Lingfei Wu, 2021, KDD.

Attacking Graph Convolutional Networks via Rewiring pdf

Suhang Wang, Jiliang Tang, Yao Ma, 2019, ArXiv.

Is Homophily a Necessity for Graph Neural Networks? pdf

Jiliang Tang, Yao Ma, Xiaorui Liu, 2021, ICLR.

A Unified View on Graph Neural Networks as Graph Signal Denoising

Jiliang Tang, Yao Ma, Xiaorui Liu, 2020, CIKM.

Network Embedding with Centrality Information

Suhang Wang, Jiliang Tang, Yao Ma, 2017, 2017 IEEE International Conference on Data Mining Workshops (ICDMW).

Signed Graph Convolutional Networks

Jiliang Tang, Yao Ma, Tyler Derr, 2018, 2018 IEEE International Conference on Data Mining (ICDM).

Signed Graph Convolutional Network pdf

Jiliang Tang, Yao Ma, Tyler Derr, 2018, ArXiv.

Adversarial Attacks and Defenses in Images, Graphs and Text: A Review

Jiliang Tang, Han Xu, Debayan Deb, 2019, International Journal of Automation and Computing.

R-Transformer: Recurrent Neural Network Enhanced Transformer pdf

Zhiwei Wang, Jiliang Tang, Yao Ma, 2019, ArXiv.

Graph Neural Networks with Adaptive Residual

Jiliang Tang, Zitao Liu, Wei Jin, 2021, NeurIPS.

Graph Convolutional Networks with EigenPooling

Charu C. Aggarwal, Suhang Wang, Jiliang Tang, 2019, KDD.

Streaming Graph Neural Networks

Jiliang Tang, Dawei Yin, Ziyi Guo, 2018, SIGIR.

Demystifying Structural Disparity in Graph Neural Networks: Can One Size Fit All?

Jiliang Tang, Neil Shah, Zhikai Chen, 2023, ArXiv.

A Graph Neural Network Framework for Social Recommendations

Qing Li, Wenqi Fan, Jiliang Tang, 2020, IEEE Transactions on Knowledge and Data Engineering.

Automated Self-Supervised Learning for Graphs

Xiaorui Liu, Jiliang Tang, Xiangyu Zhao, 2021, ICLR.

Deep Graph Learning: Foundations, Advances and Applications

Wenbing Huang, Hong Cheng, Tingyang Xu, 2020, KDD.

Graph Enhanced BERT for Query Understanding

Jiliang Tang, Dawei Yin, Weizhen Zeng, 2022, SIGIR.

Is Homophily a Necessity for Graph Neural Networks?

Xiaorui Liu, Jiliang Tang, Neil Shah, 2021, ICLR.

Multi-dimensional Graph Convolutional Networks pdf

Charu C. Aggarwal, Suhang Wang, Jiliang Tang, 2018, SDM.

Adversarial Attacks for Black-Box Recommender Systems Via Copying Transferable Cross-Domain User Profiles

Jiliang Tang, Hui Liu, Tyler Derr, 2023, IEEE Transactions on Knowledge and Data Engineering.

Dynamic Graph Neural Networks pdf

Zhaochun Ren, Jiliang Tang, Yao Ma, 2018, ArXiv.

Streaming Graph Neural Networks.

Jiliang Tang, Eric Zhao, Z. Ren, 2018 .

Graph Pooling with Representativeness

Jiliang Tang, Changdong Wang, Yiqi Wang, 2020, 2020 IEEE International Conference on Data Mining (ICDM).

Embedding Imputation With Self-Supervised Graph Neural Networks

Dantong Yu, S. Yao, Yao Ma, 2023, IEEE Access.

Towards Fair Graph Neural Networks via Graph Counterfactual

Yao Ma, Zhimeng Guo, Suhang Wang, 2023, CIKM.

Linked Recurrent Neural Networks pdf

Jiliang Tang, Yao Ma, Dawei Yin, 2018, ArXiv.

Are Message Passing Neural Networks Really Helpful for Knowledge Graph Completion?

Jiliang Tang, Yiqi Wang, Neil Shah, 2022, ACL.

Demystifying Structural Disparity in Graph Neural Networks: Can One Size Fit All?

Jiliang Tang, Neil Shah, Zhikai Chen, 2023, NeurIPS.

Jiliang Tang, Wei Jin, Yao Ma, 2020, WSDM.

Deep Learning on Graphs

Jiliang Tang, Yao Ma, 2021 .

Is Homophily a Necessity for Graph Neural Networks?

Xiaorui Liu, Jiliang Tang, Neil Shah, 2021, International Conference on Learning Representations.

Learning Representations for Hyper-Relational Knowledge Graphs

Jiliang Tang, Wei Jin, Yao Ma, 2022, ASONAM.