Graph Neural Networks

Optimal Exact Recovery in Semi-Supervised Learning: A Study of Spectral Methods and Graph Convolutional Networks ICML 2024 Orbit-Equivariant Graph Neural Networks ICLR 2024 OxyGenerator: Reconstructing Global Ocean Deoxygenation Over a Century with Deep Learning ICML 2024 PAC-Bayesian Generalization Bounds for Knowledge Graph Representation Learning ICML 2024 PACIA: Parameter-Efficient Adapter for Few-Shot Molecular Property Prediction IJCAI 2024 PageRank Bandits for Link Prediction NeurIPS 2024 Pairwise Alignment Improves Graph Domain Adaptation ICML 2024 Pard: Permutation-Invariant Autoregressive Diffusion for Graph Generation NeurIPS 2024 Partitioning Message Passing for Graph Fraud Detection ICLR 2024 Patch-Wise Graph Contrastive Learning for Image Translation AAAI 2024 PC-Conv: Unifying Homophily and Heterophily with Two-Fold Filtering AAAI 2024 Perception-Inspired Graph Convolution for Music Understanding Tasks IJCAI 2024 Persona-aware Multi-party Conversation Response Generation COLING 2024 PGODE: Towards High-quality System Dynamics Modeling ICML 2024 PhAST: Physics-Aware, Scalable, and Task-Specific GNNs for Accelerated Catalyst Design JMLR 2024 PhyloGen: Language Model-Enhanced Phylogenetic Inference via Graph Structure Generation NeurIPS 2024 Physics-Informed Graph Neural Networks for Water Distribution Systems AAAI 2024 p-Laplacian Adaptation for Generative Pre-trained Vision-Language Models AAAI 2024 Pluvial Flood Emulation with Hydraulics-informed Message Passing ICML 2024 Poincaré Differential Privacy for Hierarchy-Aware Graph Embedding AAAI 2024 PolyGCL: GRAPH CONTRASTIVE LEARNING via Learnable Spectral Polynomial Filters ICLR 2024 Polynormer: Polynomial-Expressive Graph Transformer in Linear Time ICLR 2024 PosDiffNet: Positional Neural Diffusion for Point Cloud Registration in a Large Field of View with Perturbations AAAI 2024 Pose Modulated Avatars from Video ICLR 2024 Position: Future Directions in the Theory of Graph Machine Learning ICML 2024