Papers
A Vectorized Relational Graph Convolutional Network for Multi-Relational Network Alignment
Rui Ye, Xin Li, Yujie Fang et al.
Amalgamating Filtered Knowledge: Learning Task-customized Student from Multi-task Teachers
Jingwen Ye, Xinchao Wang, Yixin Ji et al.
Multi-View Multiple Clustering
Shixin Yao, Guoxian Yu, Jun Wang et al.
Privacy-Preserving Stacking with Application to Cross-organizational Diabetes Prediction
Quanming Yao, Xiawei Guo, James Kwok et al.
On the Estimation of Treatment Effect with Text Covariates
Liuyi Yao, Sheng Li, Yaliang Li et al.
SPAGAN: Shortest Path Graph Attention Network
Yiding Yang, Xinchao Wang, Mingli Song et al.
Comprehensive Semi-Supervised Multi-Modal Learning
Yang Yang, Ke-Tao Wang, De-Chuan Zhan et al.
Legal Judgment Prediction via Multi-Perspective Bi-Feedback Network
Wenmian Yang, Weijia Jia, Xiaojie Zhou et al.
Deep Multi-Task Learning with Adversarial-and-Cooperative Nets
Pei Yang, Qi Tan, Jieping Ye et al.
Masked Graph Convolutional Network
Liang Yang, Fan Wu, Yingkui Wang et al.
Dual Self-Paced Graph Convolutional Network: Towards Reducing Attribute Distortions Induced by Topology
Liang Yang, Zhiyang Chen, Junhua Gu et al.
Topology Optimization based Graph Convolutional Network
Liang Yang, Zesheng Kang, Xiaochun Cao et al.
Low-Bit Quantization for Attributed Network Representation Learning
Hong Yang, Shirui Pan, Ling Chen et al.
Learning Strictly Orthogonal p-Order Nonnegative Laplacian Embedding via Smoothed Iterative Reweighted Method
Haoxuan Yang, Kai Liu, Hua Wang et al.
Multi-scale Information Diffusion Prediction with Reinforced Recurrent Networks
Cheng Yang, Jian Tang, Maosong Sun et al.
Deep Correlated Predictive Subspace Learning for Incomplete Multi-View Semi-Supervised Classification
Zhe Xue, Junping Du, Dawei Du et al.
Deep Spectral Kernel Learning
Hui Xue, Zheng-Fan Wu, Wei-Xiang Sun
Transfer of Temporal Logic Formulas in Reinforcement Learning
Zhe Xu, Ufuk Topcu
On the Convergence of (Stochastic) Gradient Descent with Extrapolation for Non-Convex Minimization
Yi Xu, Zhuoning Yuan, Sen Yang et al.
Zero-shot Metric Learning
Xinyi Xu, Huanhuan Cao, Yanhua Yang et al.
Learning Image-Specific Attributes by Hyperbolic Neighborhood Graph Propagation
Xiaofeng Xu, Ivor W. Tsang, Xiaofeng Cao et al.
Latent Semantics Encoding for Label Distribution Learning
Suping Xu, Lin Shang, Furao Shen
Commit Message Generation for Source Code Changes
Shengbin Xu, Yuan Yao, Feng Xu et al.
MR-GNN: Multi-Resolution and Dual Graph Neural Network for Predicting Structured Entity Interactions
Nuo Xu, Pinghui Wang, Long Chen et al.
Topology Attack and Defense for Graph Neural Networks: An Optimization Perspective
Kaidi Xu, Hongge Chen, Sijia Liu et al.