Wenzheng Feng
Wenzheng Feng
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Graph Random Neural Network for Semi-Supervised Learning on Graphs
W Feng, J Zhang, Y Dong, Y Han, H Luan, Q Xu, Q Yang, E Kharlamov, ...
Advances in Neural Information Processing Systems 33, 2020
Understanding dropouts in MOOCs
W Feng, J Tang, TX Liu
Proceedings of the AAAI conference on artificial intelligence 33 (01), 517-524, 2019
Are we really making much progress? revisiting, benchmarking and refining heterogeneous graph neural networks
Q Lv, M Ding, Q Liu, Y Chen, W Feng, S He, C Zhou, J Jiang, Y Dong, ...
Proceedings of the 27th ACM SIGKDD conference on knowledge discovery & data …, 2021
Mixgcf: An improved training method for graph neural network-based recommender systems
T Huang, Y Dong, M Ding, Z Yang, W Feng, X Wang, J Tang
Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data …, 2021
Attentional graph convolutional networks for knowledge concept recommendation in moocs in a heterogeneous view
J Gong, S Wang, J Wang, W Feng, H Peng, J Tang, PS Yu
Proceedings of the 43rd international ACM SIGIR conference on research and …, 2020
MOOCCube: A large-scale data repository for NLP applications in MOOCs
J Yu, G Luo, T Xiao, Q Zhong, Y Wang, W Feng, J Luo, C Wang, L Hou, ...
Proceedings of the 58th annual meeting of the association for computational …, 2020
GRAND+: Scalable Graph Random Neural Networks
W Feng, Y Dong, T Huang, Z Yin, X Cheng, E Kharlamov, J Tang
Proceedings of the ACM Web Conference 2022, 3248-3258, 2022
MOOCCubeX: a large knowledge-centered repository for adaptive learning in MOOCs
J Yu, Y Wang, Q Zhong, G Luo, Y Mao, K Sun, W Feng, W Xu, S Cao, ...
Proceedings of the 30th ACM International Conference on Information …, 2021
Beihang-msra at semeval-2017 task 3: A ranking system with neural matching features for community question answering
W Feng, Y Wu, W Wu, Z Li, M Zhou
Proceedings of the 11th International Workshop on Semantic Evaluation …, 2017
Reinforced moocs concept recommendation in heterogeneous information networks
J Gong, Y Wan, Y Liu, X Li, Y Zhao, C Wang, Y Lin, X Fang, W Feng, ...
ACM Transactions on the Web 17 (3), 1-27, 2023
WinGNN: dynamic graph neural networks with random gradient aggregation window
Y Zhu, F Cong, D Zhang, W Gong, Q Lin, W Feng, Y Dong, J Tang
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and …, 2023
ApeGNN: node-wise adaptive aggregation in GNNs for recommendation
D Zhang, Y Zhu, Y Dong, Y Wang, W Feng, E Kharlamov, J Tang
Proceedings of the ACM Web Conference 2023, 759-769, 2023
Dropconn: Dropout connection based random gnns for molecular property prediction
D Zhang, W Feng, Y Wang, Z Qi, Y Shan, J Tang
IEEE Transactions on Knowledge and Data Engineering, 2023
Course concept extraction in MOOC via explicit/implicit representation
X Wang, W Feng, J Tang, Q Zhong
2018 IEEE Third International Conference on Data Science in Cyberspace (DSC …, 2018
SCR: Training Graph Neural Networks with Consistency Regularization
C Zhang, Y He, Y Cen, Z Hou, W Feng, Y Dong, X Cheng, H Cai, F He, ...
arXiv preprint arXiv:2112.04319, 2021
XiaoMu: an AI-driven assistant for MOOCs
Z Song, J Tang, TX Liu, W Zheng, L Wu, W Feng, J Zhang
Science China. Information Sciences 64 (6), 164101, 2021
Semi-Supervised Social Bot Detection with Initial Residual Relation Attention Networks
M Zhou, W Feng, Y Zhu, D Zhang, Y Dong, J Tang
PKDD 2023 Best Student Paper; Joint European Conference on Machine Learning …, 2023
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