Representation Learning

Graph Mixture of Experts: Learning on Large-Scale Graphs with Explicit Diversity Modeling NeurIPS 2023 GraphMP: Graph Neural Network-based Motion Planning with Efficient Graph Search NeurIPS 2023 Graph Neural Convection-Diffusion with Heterophily IJCAI 2023 Graph Neural Networks can Recover the Hidden Features Solely from the Graph Structure ICML 2023 Graph Neural Networks with Learnable and Optimal Polynomial Bases ICML 2023 Graph Positional Encoding via Random Feature Propagation ICML 2023 Graph Reinforcement Learning for Network Control via Bi-Level Optimization ICML 2023 Graph Representation for Order-Aware Visual Transformation CVPR 2023 Graph Spectral Embedding using the Geodesic Betweenness Centrality AISTATS 2023 Graph Structure Learning on User Mobility Data for Social Relationship Inference AAAI 2023 Graph Transformer GANs for Graph-Constrained House Generation CVPR 2023 Graph vs. Sequence: An Empirical Study on Knowledge Forms for Knowledge-Grounded Dialogue EMNLP 2023 GRASMOS: Graph Signage Model Selection for Gene Regulatory Networks AAAI 2023 Grassmann Manifold Flows for Stable Shape Generation NeurIPS 2023 GREAD: Graph Neural Reaction-Diffusion Networks ICML 2023 GreenKGC: A Lightweight Knowledge Graph Completion Method ACL 2023 GridMM: Grid Memory Map for Vision-and-Language Navigation ICCV 2023 GridPull: Towards Scalability in Learning Implicit Representations from 3D Point Clouds ICCV 2023 GRI: Graph-based Relative Isomorphism of Word Embedding Spaces EMNLP 2023 Grokking of Hierarchical Structure in Vanilla Transformers ACL 2023 Grounded Entity-Landmark Adaptive Pre-Training for Vision-and-Language Navigation ICCV 2023 Grounded Image Text Matching with Mismatched Relation Reasoning ICCV 2023 Group Equivariant Fourier Neural Operators for Partial Differential Equations ICML 2023 Grouping Matrix Based Graph Pooling with Adaptive Number of Clusters AAAI 2023 GSLB: The Graph Structure Learning Benchmark NeurIPS 2023