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Xiao Huang
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Cited by
Year
Knowledge Graph Embedding Based Question Answering
X Huang, J Zhang, D Li, P Li
ACM International Conference on Web Search and Data Mining, 105-113, 2019
6062019
Label Informed Attributed Network Embedding
X Huang, J Li, X Hu
ACM International Conference on Web Search and Data Mining, 731-739, 2017
5402017
Accelerated Attributed Network Embedding
X Huang, J Li, X Hu
SIAM International Conference on Data Mining, 633-641, 2017
3542017
Towards Deeper Graph Neural Networks with Differentiable Group Normalization
K Zhou, X Huang, Y Li, D Zha, R Chen, X Hu
Conference on Neural Information Processing Systems, 2020
1862020
Auto-GNN: Neural architecture search of graph neural networks
K Zhou, X Huang, Q Song, R Chen, X Hu
Frontiers in Big Data 5, 2022
1582022
SpecAE: Spectral AutoEncoder for Anomaly Detection in Attributed Networks
Y Li, X Huang, J Li, M Du, N Zou
ACM International Conference on Information and Knowledge Management, 2019
1072019
Graph Recurrent Networks with Attributed Random Walks
X Huang, Q Song, Y Li, X Hu
ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2019
1032019
Dirichlet energy constrained learning for deep graph neural networks
K Zhou, X Huang, D Zha, R Chen, L Li, SH Choi, X Hu
Conference on Neural Information Processing Systems, 2021
872021
S2GAE: Self-Supervised Graph Autoencoders Are Generalizable Learners with Graph Masking
Q Tan, N Liu, X Huang, SH Choi, L Li, R Chen, X Hu
ACM International Conference on Web Search and Data Mining, 2023
73*2023
Multi-Aspect Streaming Tensor Completion
Q Song, X Huang, H Ge, J Caverlee, X Hu
ACM SIGKDD Conferences on Knowledge Discovery and Data Mining, 435-443, 2017
712017
On Interpretation of Network Embedding via Taxonomy Induction
N Liu, X Huang, J Li, X Hu
ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2018
652018
Accelerated Local Anomaly Detection via Resolving Attributed Networks
N Liu, X Huang, X Hu
International Joint Conference on Artificial Intelligence, 2337-2343, 2017
642017
Dynamic Memory based Attention Network for Sequential Recommendation
Q Tan, J Zhang, N Liu, X Huang, H Yang, J Zhou, X Hu
AAAI Conference on Artificial Intelligence, 2021
612021
Temporal Augmented Graph Neural Networks for Session-Based Recommendations
H Zhou, Q Tan, X Huang, K Zhou, X Wang
International ACM SIGIR Conference on Research and Development in …, 2021
472021
Exploring Expert Cognition for Attributed Network Embedding
X Huang, Q Song, J Li, X Hu
ACM International Conference on Web Search and Data Mining, 270-278, 2018
472018
Reform: Error-aware few-shot knowledge graph completion
S Wang, X Huang, C Chen, L Wu, J Li
ACM International Conference on Information and Knowledge Management, 1979-1988, 2021
452021
A novel hypergraph convolution network-based approach for predicting the material removal rate in chemical mechanical planarization
L Xia, P Zheng, X Huang, C Liu
Journal of Intelligent Manufacturing 33 (8), 2295-2306, 2022
432022
Generative Adversarial Framework for Cold-Start Item Recommendation
H Chen, Z Wang, F Huang, X Huang, Y Xu, Y Lin, P He, Z Li
International ACM SIGIR Conference on Research and Development in …, 2022
422022
Multi-Channel Graph Neural Networks
K Zhou, Q Song, X Huang, D Zha, N Zou, X Hu
International Joint Conference on Artificial Intelligence, 2020
42*2020
Contrastive attributed network anomaly detection with data augmentation
Z Xu, X Huang, Y Zhao, Y Dong, J Li
Pacific-Asia Conference on Knowledge Discovery and Data Mining, 444-457, 2022
412022
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