A comprehensive survey on graph neural networks Z Wu, S Pan, F Chen, G Long, C Zhang, PS Yu. IEEE Transactions on Neural Networks and Learning Systems (TNNLS) 2020, 2020 | 1107 | 2020 |
Disan: Directional self-attention network for rnn/cnn-free language understanding T Shen, T Zhou, G Long, J Jiang, S Pan, C Zhang Association for the Advancement of Artificial Intelligence (AAAI) 2018, 5446 …, 2018 | 389 | 2018 |
Adversarially Regularized Graph Autoencoder for Graph Embedding S Pan, R Hu, G Long, J Jiang, L Yao, C Zhang (IJCAI) International Joint Conference on Artificial Intelligence 2018, 2609 …, 2018 | 187 | 2018 |
Optimal cloud resource auto-scaling for web applications J Jiang, J Lu, G Zhang, G Long IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing …, 2013 | 140 | 2013 |
Scaling-up item-based collaborative filtering recommendation algorithm based on hadoop J Jiang, J Lu, G Zhang, G Long IEEE World Congress on Services (SERVICES), 490-497, 2011 | 123 | 2011 |
Bi-directional block self-attention for fast and memory-efficient sequence modeling T Shen, T Zhou, G Long, J Jiang, C Zhang (ICLR) International Conference on Learning Representations 2018, 1-18, 2018 | 92 | 2018 |
Graph WaveNet for Deep Spatial-Temporal Graph Modeling Z Wu, S Pan, G Long, J Jiang, C Zhang International Joint Conference on Artificial Intelligence (IJCAI) 2019, 1907 …, 2019 | 89 | 2019 |
Mgae: Marginalized graph autoencoder for graph clustering C Wang, S Pan, G Long, X Zhu, J Jiang ACM on Conference on Information and Knowledge Management (CIKM), 889-898, 2017 | 83 | 2017 |
Reinforced Self-Attention Network: a Hybrid of Hard and Soft Attention for Sequence Modeling T Shen, T Zhou, G Long, J Jiang, S Wang, C Zhang International Joint Conference on Artificial Intelligence (IJCAI) 2018, 4345 …, 2018 | 76 | 2018 |
Diagnosis code assignment using sparsity-based disease correlation embedding S Wang, X Chang, X Li, G Long, L Yao, Q Sheng IEEE Transactions on Knowledge & Data Engineering (TKDE) 28 (12), 3191-3202 …, 2016 | 66 | 2016 |
Learning graph embedding with adversarial training methods S Pan, R Hu, S Fung, G Long, J Jiang, C Zhang IEEE transactions on cybernetics (TCYB) 50 (6), 2475-2487, 2020 | 60 | 2020 |
Task sensitive feature exploration and learning for multitask graph classification S Pan, J Wu, X Zhu, G Long, C Zhang IEEE transactions on cybernetics (TCYB) 47 (3), 744-758, 2017 | 44 | 2017 |
Learning multiple diagnosis codes for ICU patients with local disease correlation mining S Wang, X Li, X Chang*, L Yao, QZ Sheng, G Long ACM Transactions on Knowledge Discovery from Data (TKDD) 11 (3), 1-21, 2017 | 43 | 2017 |
Dynamic Concept Composition for Zero-Example Event Detection. X Chang, Y Yang, G Long, C Zhang, AG Hauptmann Association for the Advancement of Artificial Intelligence (AAAI), 3464-3470, 2016 | 42 | 2016 |
NeuRec: On Nonlinear Transformation for Personalized Ranking S Zhang, L Yao, A Sun, S Wang, G Long, M Dong International Joint Conference on Artificial Intelligence (IJCAI) 2018, 3669 …, 2018 | 41 | 2018 |
Finding the best not the most: regularized loss minimization subgraph selection for graph classification S Pan, J Wu, X Zhu, G Long, C Zhang Pattern Recognition 48 (11), 3783-3796, 2015 | 38 | 2015 |
Attributed Graph Clustering: A Deep Attentional Embedding Approach C Wang, S Pan, R Hu, G Long, J Jiang, C Zhang International Joint Conference on Artificial Intelligence (IJCAI) 2019, 3670 …, 2019 | 35 | 2019 |
Supervised Learning for Suicidal Ideation Detection in Online User Content S Ji, CP Yu, S Fung, S Pan, G Long Complexity 2018, 6157249:1-6157249:10, 2018 | 28 | 2018 |
Online Learning from Trapezoidal Data Streams Q Zhang, P Zhang, G Long, W Ding, C Zhang, X Wu IEEE Transactions on Knowledge and Data Engineering (TKDE) 28 (10), 2709-2723, 2016 | 28 | 2016 |
Learning to Propagate for Graph Meta-Learning L Liu, T Zhou, G Long, J Jiang, C Zhang The 33rd Conference on Neural Information Processing Systems (NeurIPS) 2019 …, 2019 | 27 | 2019 |