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 | 625 | 2019 |
Label Informed Attributed Network Embedding X Huang, J Li, X Hu ACM International Conference on Web Search and Data Mining, 731-739, 2017 | 548 | 2017 |
Accelerated Attributed Network Embedding X Huang, J Li, X Hu SIAM International Conference on Data Mining, 633-641, 2017 | 355 | 2017 |
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 | 200 | 2020 |
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 | 168 | 2022 |
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 | 114 | 2019 |
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 | 106 | 2019 |
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 | 100 | 2021 |
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 | 87* | 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 | 77 | 2017 |
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 | 67 | 2021 |
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 | 66 | 2018 |
Accelerated Local Anomaly Detection via Resolving Attributed Networks N Liu, X Huang, X Hu International Joint Conference on Artificial Intelligence, 2337-2343, 2017 | 66 | 2017 |
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 | 51 | 2022 |
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 | 49 | 2022 |
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 | 48 | 2022 |
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 | 48 | 2021 |
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 | 47 | 2021 |
Unsupervised graph alignment with wasserstein distance discriminator J Gao, X Huang, J Li ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 426-435, 2021 | 47 | 2021 |
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 | 47 | 2018 |