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Cheng Yang
Titel
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Citeras av
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Graph neural networks: A review of methods and applications
J Zhou, G Cui, S Hu, Z Zhang, C Yang, Z Liu, L Wang, C Li, M Sun
AI open 1, 57-81, 2020
71222020
Network representation learning with rich text information
C Yang, Z Liu, D Zhao, M Sun, E Chang
Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015
13882015
Chatdev: Communicative agents for software development
C Qian, W Liu, H Liu, N Chen, Y Dang, J Li, C Yang, W Chen, Y Su, ...
Proceedings of the 62nd Annual Meeting of the Association for Computational …, 2024
531*2024
Tool learning with foundation models
Y Qin, S Hu, Y Lin, W Chen, N Ding, G Cui, Z Zeng, X Zhou, Y Huang, ...
ACM Computing Surveys 57 (4), 1-40, 2024
2552024
Agentverse: Facilitating multi-agent collaboration and exploring emergent behaviors
W Chen, Y Su, J Zuo, C Yang, C Yuan, CM Chan, H Yu, Y Lu, YH Hung, ...
The Twelfth International Conference on Learning Representations, 2023
254*2023
Adaptive graph encoder for attributed graph embedding
G Cui, J Zhou, C Yang, Z Liu
Proceedings of the 26th ACM SIGKDD international conference on knowledge …, 2020
2532020
GEAR: Graph-based Evidence Aggregating and Reasoning for Fact Verification
J Zhou, X Han, C Yang, Z Liu, L Wang, C Li, M Sun
arXiv preprint arXiv:1908.01843, 2019
2422019
Graph neural news recommendation with long-term and short-term interest modeling
L Hu, C Li, C Shi, C Yang, C Shao
Information Processing & Management 57 (2), 102142, 2020
2192020
A neural network approach to jointly modeling social networks and mobile trajectories
C Yang, M Sun, WX Zhao, Z Liu, EY Chang
ACM Transactions on Information Systems (TOIS) 35 (4), 1-28, 2017
1922017
Fast network embedding enhancement via high order proximity approximation.
C Yang, M Sun, Z Liu, C Tu
IJCAI 17, 3894-3900, 2017
1832017
CED: Credible early detection of social media rumors
C Song, C Yang, H Chen, C Tu, Z Liu, M Sun
IEEE Transactions on Knowledge and Data Engineering 33 (8), 3035-3047, 2019
1552019
Graph neural news recommendation with unsupervised preference disentanglement
L Hu, S Xu, C Li, C Yang, C Shi, N Duan, X Xie, M Zhou
Proceedings of the 58th annual meeting of the association for computational …, 2020
1542020
Extract the knowledge of graph neural networks and go beyond it: An effective knowledge distillation framework
C Yang, J Liu, C Shi
Proceedings of the web conference 2021, 1227-1237, 2021
1502021
Full-Scale Information Diffusion Prediction With Reinforced Recurrent Networks
C Yang, H Wang, J Tang, C Shi, M Sun, G Cui, Z Liu
IEEE Transactions on Neural Networks and Learning Systems, 2021
1392021
Be confident! towards trustworthy graph neural networks via confidence calibration
X Wang, H Liu, C Shi, C Yang
Advances in Neural Information Processing Systems 34, 23768-23779, 2021
1252021
Real-time topic-aware influence maximization using preprocessing
W Chen, T Lin, C Yang
Computational social networks 3, 1-19, 2016
962016
网络表示学习综述
涂存超, 杨成, 刘知远, 孙茂松
科学通报 43, 1681, 2017
95*2017
Neural diffusion model for microscopic cascade study
C Yang, M Sun, H Liu, S Han, Z Liu, H Luan
IEEE Transactions on Knowledge and Data Engineering 33 (3), 1128-1139, 2019
88*2019
Towards graph foundation models: A survey and beyond
J Liu, C Yang, Z Lu, J Chen, Y Li, M Zhang, T Bai, Y Fang, L Sun, PS Yu, ...
arXiv preprint arXiv:2310.11829, 2023
842023
Sentiment-Controllable Chinese Poetry Generation.
H Chen, X Yi, M Sun, W Li, C Yang, Z Guo
IJCAI, 4925-4931, 2019
692019
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Artiklar 1–20