Graph Neural Networks

GALOPA: Graph Transport Learning with Optimal Plan Alignment NeurIPS 2023 Gapformer: Graph Transformer with Graph Pooling for Node Classification IJCAI 2023 GarSim: Particle Based Neural Garment Simulator WACV 2023 GC-Flow: A Graph-Based Flow Network for Effective Clustering ICML 2023 GEMS: Scene Expansion Using Generative Models of Graphs WACV 2023 Generalised f-Mean Aggregation for Graph Neural Networks NeurIPS 2023 Generalization in Graph Neural Networks: Improved PAC-Bayesian Bounds on Graph Diffusion AISTATS 2023 Generalizing Downsampling from Regular Data to Graphs AAAI 2023 Generated Graph Detection ICML 2023 Generating Extractive and Abstractive Summaries in Parallel from Scientific Articles Incorporating Citing Statements EMNLP 2023 Generating Novel, Designable, and Diverse Protein Structures by Equivariantly Diffusing Oriented Residue Clouds ICML 2023 Generative Diffusion Models on Graphs: Methods and Applications IJCAI 2023 Generative Flow Networks for Precise Reward-Oriented Active Learning on Graphs IJCAI 2023 Generative Graph Dictionary Learning ICML 2023 Generic and Dynamic Graph Representation Learning for Crowd Flow Modeling AAAI 2023 GeoDRL: A Self-Learning Framework for Geometry Problem Solving using Reinforcement Learning in Deductive Reasoning ACL 2023 Geometric Random Walk Graph Neural Networks via Implicit Layers AISTATS 2023 Geometry Matching for Multi-Embodiment Grasping CoRL 2023 GeoTMI: Predicting Quantum Chemical Property with Easy-to-Obtain Geometry via Positional Denoising NeurIPS 2023 GLCC: A General Framework for Graph-Level Clustering AAAI 2023 Global Concept-Based Interpretability for Graph Neural Networks via Neuron Analysis AAAI 2023 Global Explainability of GNNs via Logic Combination of Learned Concepts ICLR 2023 Globally Consistent Federated Graph Autoencoder for Non-IID Graphs IJCAI 2023 GlobalMapper: Arbitrary-Shaped Urban Layout Generation ICCV 2023 GlueStick: Robust Image Matching by Sticking Points and Lines Together ICCV 2023