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Xiao Huang
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Cited by
Year
Label Informed Attributed Network Embedding
X Huang, J Li, X Hu
ACM International Conference on Web Search and Data Mining, 731-739, 2017
4272017
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
3082019
Accelerated Attributed Network Embedding
X Huang, J Li, X Hu
SIAM International Conference on Data Mining, 633-641, 2017
2752017
Auto-gnn: Neural architecture search of graph neural networks
K Zhou, Q Song, X Huang, X Hu
arXiv preprint arXiv:1909.03184, 2019
812019
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
642020
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
592019
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
522019
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
512017
Accelerated Local Anomaly Detection via Resolving Attributed Networks
N Liu, X Huang, X Hu
International Joint Conference on Artificial Intelligence, 2337-2343, 2017
482017
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
382018
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
362018
Index coding and network coding via rank minimization
X Huang, SE Rouayheb
Information Theory Workshop, 14-18, 2015
342015
Link Prediction with Personalized Social Influence
Z Huo, X Huang, X Hu
AAAI Conference on Artificial Intelligence, 2018
192018
Multi-Channel Graph Neural Networks
K Zhou, Q Song, X Huang, D Zha, N Zou, X Hu
International Joint Conference on Artificial Intelligence, 2020
18*2020
Large-Scale Heterogeneous Feature Embedding
X Huang, Q Song, F Yang, X Hu
AAAI Conference on Artificial Intelligence, 2019
172019
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
162021
Multi-Label Adversarial Perturbations
Q Song, H Jin, X Huang, X Hu
IEEE International Conference on Data Mining, 2018
162018
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
142021
Temporal Augmented Graph Neural Networks for Session-Based Recommendations
H Zhou, Q Tan, X Huang, K Zhou, X Wang
44th International ACM SIGIR Conference on Research and Development in …, 2021
132021
A General Embedding Framework for Heterogeneous Information Learning in Large-Scale Networks
X Huang, J Li, Z Na, X Hu
ACM Transactions on Knowledge Discovery from Data 12, 1-24, 2018
132018
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Articles 1–20