graph neural network

GDeR: Safeguarding Efficiency, Balancing, and Robustness via Prototypical Graph Pruning NeurIPS 2024 Generalizable Sleep Staging via Multi-Level Domain Alignment AAAI 2024 Generalized Taxonomy-Guided Graph Neural Networks IJCAI 2024 Generalizing CNNs to graphs with learnable neighborhood quantization NeurIPS 2024 Generating Diagnostic and Actionable Explanations for Fair Graph Neural Networks AAAI 2024 Generating Handwritten Mathematical Expressions From Symbol Graphs: An End-to-End Pipeline CVPR 2024 Generating In-Distribution Proxy Graphs for Explaining Graph Neural Networks ICML 2024 Generative Hierarchical Materials Search NeurIPS 2024 Generative Semi-supervised Graph Anomaly Detection NeurIPS 2024 Generative Subgraph Retrieval for Knowledge Graph–Grounded Dialog Generation EMNLP 2024 Geometric-Facilitated Denoising Diffusion Model for 3D Molecule Generation AAAI 2024 Geometry Awakening: Cross-Geometry Learning Exhibits Superiority over Individual Structures NeurIPS 2024 GeSS: Benchmarking Geometric Deep Learning under Scientific Applications with Distribution Shifts NeurIPS 2024 G-FARS: Gradient-Field-based Auto-Regressive Sampling for 3D Part Grouping CVPR 2024 GFT: Graph Foundation Model with Transferable Tree Vocabulary NeurIPS 2024 GIN-SD: Source Detection in Graphs with Incomplete Nodes via Positional Encoding and Attentive Fusion AAAI 2024 GIPCOL: Graph-Injected Soft Prompting for Compositional Zero-Shot Learning WACV 2024 GLBench: A Comprehensive Benchmark for Graph with Large Language Models NeurIPS 2024 GLDL: Graph Label Distribution Learning AAAI 2024 GLiDR: Topologically Regularized Graph Generative Network for Sparse LiDAR Point Clouds CVPR 2024 GMP-AR: Granularity Message Passing and Adaptive Reconciliation for Temporal Hierarchy Forecasting AAAI 2024 GNNavi: Navigating the Information Flow in Large Language Models by Graph Neural Network ACL 2024 GNNBoundary: Towards Explaining Graph Neural Networks through the Lens of Decision Boundaries ICLR 2024 GNNs Also Deserve Editing, and They Need It More Than Once ICML 2024 GNNX-BENCH: Unravelling the Utility of Perturbation-based GNN Explainers through In-depth Benchmarking ICLR 2024