Summary of Pac-bayesian Generalization Bounds For Knowledge Graph Representation Learning, by Jaejun Lee et al.
PAC-Bayesian Generalization Bounds for Knowledge Graph Representation Learningby Jaejun Lee, Minsung Hwang, Joyce Jiyoung WhangFirst…
PAC-Bayesian Generalization Bounds for Knowledge Graph Representation Learningby Jaejun Lee, Minsung Hwang, Joyce Jiyoung WhangFirst…
Lying Graph Convolution: Learning to Lie for Node Classification Tasksby Daniele CastellanaFirst submitted to arxiv…
WEST GCN-LSTM: Weighted Stacked Spatio-Temporal Graph Neural Networks for Regional Traffic Forecastingby Theodoros Theodoropoulos, Angelos-Christos…
Improving Multi-label Recognition using Class Co-Occurrence Probabilitiesby Samyak Rawlekar, Shubhang Bhatnagar, Vishnuvardhan Pogunulu Srinivasulu, Narendra…
VN-Net: Vision-Numerical Fusion Graph Convolutional Network for Sparse Spatio-Temporal Meteorological Forecastingby Yutong Xiong, Xun Zhu,…
Graph Convolutional Network For Semi-supervised Node Classification With Subgraph Sketchingby Zibin Huang, Jun XianFirst submitted…
Efflex: Efficient and Flexible Pipeline for Spatio-Temporal Trajectory Graph Modeling and Representation Learningby Ming Cheng,…
EEG_GLT-Net: Optimising EEG Graphs for Real-time Motor Imagery Signals Classificationby Htoo Wai Aung, Jiao Jiao…
Graph Neural Networks for Protein-Protein Interactions – A Short Surveyby Mingda Xu, Peisheng Qian, Ziyuan…
Hierarchical Attention Models for Multi-Relational Graphsby Roshni G. Iyer, Wei Wang, Yizhou SunFirst submitted to…