Papers
GeomGCL: Geometric Graph Contrastive Learning for Molecular Property Prediction
Shuangli Li, Jingbo Zhou, Tong Xu et al.
Geotagging Social Media Posts to Landmarks Using Hierarchical BERT (Student Abstract)
Menglin Li, Kwan Hui Lim
GEQCA: Generic Qualitative Constraint Acquisition
Mohamed-Bachir Belaid, Nassim Belmecheri, Arnaud Gotlieb et al.
Globally Optimal Hierarchical Reinforcement Learning for Linearly-Solvable Markov Decision Processes
Guillermo Infante, Anders Jonsson, Vicenç Gómez
GNN-Retro: Retrosynthetic Planning with Graph Neural Networks
Peng Han, Peilin Zhao, Chan Lu et al.
Goal Recognition as Reinforcement Learning
Leonardo Amado, Reuth Mirsky, Felipe Meneguzzi
GoTube: Scalable Statistical Verification of Continuous-Depth Models
Sophie A. Gruenbacher, Mathias Lechner, Ramin Hasani et al.
Go Wider Instead of Deeper
Fuzhao Xue, Ziji Shi, Futao Wei et al.
Grad-Align: Gradual Network Alignment via Graph Neural Networks (Student Abstract)
Jin-Duk Park, Cong Tran, Won-Yong Shin et al.
Gradient Based Activations for Accurate Bias-Free Learning
Vinod K. Kurmi, Rishabh Sharma, Yash Vardhan Sharma et al.
Gradient-Based Novelty Detection Boosted by Self-Supervised Binary Classification
Jingbo Sun, Li Yang, Jiaxin Zhang et al.
Gradient Flow in Sparse Neural Networks and How Lottery Tickets Win
Utku Evci, Yani Ioannou, Cem Keskin et al.
Gradient Temporal Difference with Momentum: Stability and Convergence
Rohan Deb, Shalabh Bhatnagar
Gradual (In)Compatibility of Fairness Criteria
Corinna Hertweck, Tim Räz
Graph-Based Point Tracker for 3D Object Tracking in Point Clouds
Minseong Park, Hongje Seong, Wonje Jang et al.
Graph Filtration Kernels
Till Schulz, Pascal Welke, Stefan Wrobel
GraphMemDialog: Optimizing End-to-End Task-Oriented Dialog Systems Using Graph Memory Networks
Jie Wu, Ian G Harris, Hongzhi Zhao
Graph Neural Controlled Differential Equations for Traffic Forecasting
Jeongwhan Choi, Hwangyong Choi, Jeehyun Hwang et al.
Graph Pointer Neural Networks
Tianmeng Yang, Yujing Wang, Zhihan Yue et al.
Graph Structure Learning with Variational Information Bottleneck
Qingyun Sun, Jianxin Li, Hao Peng et al.
Graph Transplant: Node Saliency-Guided Graph Mixup with Local Structure Preservation
Joonhyung Park, Hajin Shim, Eunho Yang
Graph-Wise Common Latent Factor Extraction for Unsupervised Graph Representation Learning
Thilini Cooray, Ngai-Man Cheung