Articles with public access mandates - Wentao Zhang (张文涛)Learn more
Not available anywhere: 3
P 2 CG: a privacy preserving collaborative graph neural network training framework
X Miao, W Zhang, Y Jiang, F Fu, Y Shao, L Chen, Y Tao, G Cao, B Cui
VLDBJ 2022, 2022
Mandates: National Natural Science Foundation of China
Scapin: Scalable graph structure perturbation by augmented influence maximization
Y Wang, Z Yang, J Liu, W Zhang, B Cui
Proceedings of the ACM on Management of Data 1 (2), 1-21, 2023
Mandates: National Natural Science Foundation of China
Graph-Enforced Neural Network for Attributed Graph Clustering
Z Sheng, W Zhang, W Ouyang, Y Tao, Z Yang, B Cui
Asia-Pacific Web (APWeb) and Web-Age Information Management (WAIM) Joint …, 2023
Mandates: National Natural Science Foundation of China
Available somewhere: 35
Graph neural networks in recommender systems: a survey
S Wu, F Sun, W Zhang*, X Xie, B Cui*
ACM Computing Surveys 55 (5), 1-37, 2022
Mandates: US National Science Foundation, National Natural Science Foundation of China
Graph attention multi-layer perceptron
W Zhang, Z Yin, Z Sheng, Y Li, W Ouyang, X Li, Y Tao, Z Yang, B Cui
ACM SIGKDD 2022, 2022
Mandates: National Natural Science Foundation of China
Model Degradation Hinders Deep Graph Neural Networks
W Zhang, Z Sheng, Z Yin, Y Jiang, Y Xia, J Gao, Z Yang, B Cui
ACM SIGKDD 2022, 2022
Mandates: National Natural Science Foundation of China
Reliable data distillation on graph convolutional network
W Zhang, X Miao, Y Shao, J Jiang, L Chen, O Ruas, B Cui
ACM SIGMOD 2020, 1399-1414, 2020
Mandates: National Natural Science Foundation of China, Research Grants Council, Hong Kong
OpenBox: A Generalized Black-box Optimization Service
Y Li, Y Shen, W Zhang, Y Chen, H Jiang, M Liu, J Jiang, J Gao, W Wu, ...
ACM SIGKDD 2021, 2021
Mandates: National Natural Science Foundation of China
Node Dependent Local Smoothing for Scalable Graph Learning
W Zhang, M Yang, Z Sheng, Y Li, W Ouyang, Y Tao, Z Yang, B Cui
NeurIPS 2021, Spotlight Paper (Acceptance Rate < 3%), 2021
Mandates: National Natural Science Foundation of China
Snapshot boosting: a fast ensemble framework for deep neural networks
W Zhang, J Jiang, Y Shao, B Cui
Science China Information Sciences 63 (1), 112102, 2020
Mandates: National Natural Science Foundation of China
Distributed graph neural network training: A survey
Y Shao, H Li, X Gu, H Yin, Y Li, X Miao, W Zhang, B Cui, L Chen
ACM Computing Surveys 56 (8), 1-39, 2024
Mandates: Research Grants Council, Hong Kong
PaSca: a Graph Neural Architecture Search System under the Scalable Paradigm
W Zhang, Y Shen, Z Lin, Y Li, X Li, W Ouyang, Y Tao, Z Yang, B Cui
WWW 2022, Best Student Paper Award, 2022
Mandates: National Natural Science Foundation of China
VolcanoML: speeding up end-to-end AutoML via scalable search space decomposition
Y Li, Y Shen, W Zhang, C Zhang, B Cui
The VLDB Journal 32 (2), 389-413, 2023
Mandates: Swiss National Science Foundation, National Natural Science Foundation of …
DeGNN: Improving Graph Neural Networks with Graph Decomposition
X Miao, NM Gürel, W Zhang, Z Han, B Li, W Min, SX Rao, H Ren, Y Shan, ...
ACM SIGKDD 2021, 1223-1233, 2021
Mandates: Swiss National Science Foundation, National Natural Science Foundation of …
Alg: Fast and accurate active learning framework for graph convolutional networks
W Zhang, Y Shen, Y Li, L Chen, Z Yang, B Cui
ACM SIGMOD 2021, 2366-2374, 2021
Mandates: National Natural Science Foundation of China, Research Grants Council, Hong Kong
Lasagne: A multi-layer graph convolutional network framework via node-aware deep architecture
X Miao, W Zhang, Y Shao, B Cui, L Chen, C Zhang, J Jiang
IEEE Transactions on Knowledge and Data Engineering 2021, 2021
Mandates: National Natural Science Foundation of China, Research Grants Council, Hong Kong
Improving diffusion-based image synthesis with context prediction
L Yang, J Liu, S Hong, Z Zhang, Z Huang, Z Cai, W Zhang, B Cui
Advances in Neural Information Processing Systems 36, 37636-37656, 2023
Mandates: National Natural Science Foundation of China
RIM: Reliable Influence-based Active Learning on Graphs
W Zhang, Y Wang, Z You, M Cao, P Huang, J Shan, Z Yang, B Cui
NeurIPS 2021, Spotlight Paper (Acceptance Rate < 3%), 2021
Mandates: National Natural Science Foundation of China
ProxyBO: Accelerating Neural Architecture Search via Bayesian Optimization with Zero-cost Proxies
Y Shen, Y Li, J Zheng, W Zhang, P Yao, J Li, S Yang, J Liu, B Cui
AAAI 2023, 2021
Mandates: National Natural Science Foundation of China
NAFS: A Simple yet Tough-to-Beat Baseline for Graph Representation Learning
W Zhang, Z Sheng, M Yang, Y Li, Y Shen, Z Yang, Z Yang, CUI Bin
ICML 2022, 2021
Mandates: National Natural Science Foundation of China
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