Yang Yang
Cited by
Cited by
Dynamic Network Embedding by Modeling Triadic Closure Process
L Zhou, Y Yang, X Ren, F Wu, Y Zhuang
AAAI, 2018
Reinforcement Learning for Relation Classification from Noisy Data
J Feng, M Huang, L Zhao, Y Yang, X Zhu
Proceedings of AAAI, 2018
Inferring user demographics and social strategies in mobile social networks
Y Dong, Y Yang, J Tang, Y Yang, NV Chawla
Proceedings of the 20th ACM SIGKDD international conference on Knowledge …, 2014
RAIN: Social role-aware information diffusion
Y Yang, J Tang, C Leung, Y Sun, Q Chen, J Li, Q Yang
Proceedings of the 29th AAAI Conference on Artificial Intelligence (AAAI'15), 2015
GAKE: Graph aware knowledge embedding
J Feng, M Huang, Y Yang
Proceedings of COLING 2016, the 26th International Conference on …, 2016
How do your friends on social media disclose your emotions?
Y Yang, J Jia, S Zhang, B Wu, Q Chen, J Li, C Xing, J Tang
AAAI 14, 1-7, 2014
PatentMiner: topic-driven patent analysis and mining
J Tang, B Wang, Y Yang, P Hu, Y Zhao, X Yan, B Gao, M Huang, P Xu, ...
Proceedings of the 18th ACM SIGKDD international conference on Knowledge …, 2012
BERT-INT: A BERT-based Interaction Model For Knowledge Graph Alignment
X Tang, J Zhang, B Chen, Y Yang, H Chen, C Li
Collaborative Filtering with Social Exposure: A Modular Approach to Social Recommendation
M Wang, X Zheng, Y Yang, K Zhang
arXiv preprint arXiv:1711.11458, 2017
Learning fair representations via an adversarial framework
R Feng, Y Yang, Y Lyu, C Tan, Y Sun, C Wang
arXiv preprint arXiv:1904.13341, 2019
Time2Graph: Revisiting Time Series Modeling with Dynamic Shapelets.
Z Cheng, Y Yang, W Wang, W Hu, Y Zhuang, G Song
AAAI, 3617-3624, 2020
Representation Learning for Scale-free Networks
R Feng, Y Yang, W Hu, F Wu, Y Zhuang
arXiv preprint arXiv:1711.10755, 2017
Social Role-Aware Emotion Contagion in Image Social Networks.
Y Yang, J Jia, B Wu, J Tang
AAAI, 65-71, 2016
Entity Matching across Heterogeneous Sources
Y Yang, Y Sun, J Tang, B Ma, J Li
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge …, 2015
Mining Fraudsters and Fraudulent Strategies in Large-Scale Mobile Social Networks
Y Yang, Y Xu, Y Sun, Y Dong, F Wu, YT Zhuang
IEEE Transactions on Knowledge and Data Engineering, 2019
Universal Prompt Tuning for Graph Neural Networks
T Fang, Y Zhang, Y Yang, C Wang, L Chen
arXiv preprint arXiv:2209.15240, 2022
DGraph: A Large-Scale Financial Dataset for Graph Anomaly Detection
X Huang, Y Yang, Y Wang, C Wang, Z Zhang, J Xu, L Chen
NeurIPS 2023, 0
Mining competitive relationships by learning across heterogeneous networks
Y Yang, J Tang, J Keomany, Y Zhao, J Li, Y Ding, T Li, L Wang
Proceedings of the 21st ACM international conference on Information and …, 2012
Can Abnormality be Detected by Graph Neural Networks?
Z Chai, S You, Y Yang, S Pu, J Xu, H Cai, W Jiang
Graph Robustness Benchmark: Benchmarking the Adversarial Robustness of Graph Machine Learning
Q Zheng, X Zou, Y Dong, Y Cen, D Yin, J Xu, Y Yang, J Tang
arXiv preprint arXiv:2111.04314, 2021
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