Graph Neural Networks

FedGOG: Federated Graph Out-of-Distribution Generalization with Diffusion Data Exploration and Latent Embedding Decorrelation AAAI 2025 FedSPA: Generalizable Federated Graph Learning under Homophily Heterogeneity CVPR 2025 Few-Shot Structure-Informed Machinery Part Segmentation with Foundation Models and Graph Neural Networks WACV 2025 FGDGNN: Fine-Grained Dynamic Graph Neural Network for Rumor Detection on Social Media ACL 2025 FGeo-HyperGNet: Geometric Problem Solving Integrating FormalGeo Symbolic System and Hypergraph Neural Network IJCAI 2025 FG-MSTGNN: Cross-subject EEG Emotion Recognition via Frequency-guided Multi-period Spatial-temporal Graph Neural Network ACML 2025 FicGCN: Unveiling the Homomorphic Encryption Efficiency from Irregular Graph Convolutional Networks ICML 2025 Fine-Grained Captioning of Long Videos through Scene Graph Consolidation ICML 2025 Fine-Grained Graph Representation Learning for Heterogeneous Mobile Networks with Attentive Fusion and Contrastive Learning AAAI 2025 Fixing the Double Penalty in Data-Driven Weather Forecasting Through a Modified Spherical Harmonic Loss Function ICML 2025 FlavorDiffusion: Modeling Food-Chemical Interactions with Diffusion NAACL 2025 FreeCG: Free the Design Space of Clebsch-Gordan Transform for Machine Learning Force Fields ICLR 2025 From Fairness to Infinity: Outcome-Indistinguishable (Omni)Prediction in Evolving Graphs COLT 2025 From GNNs to Trees: Multi-Granular Interpretability for Graph Neural Networks ICLR 2025 FS-DAG: Few Shot Domain Adapting Graph Networks for Visually Rich Document Understanding COLING 2025 Fully-inductive Node Classification on Arbitrary Graphs ICLR 2025 g3D-LF: Generalizable 3D-Language Feature Fields for Embodied Tasks CVPR 2025 G-Adaptivity: optimised graph-based mesh relocation for finite element methods ICML 2025 GaitCycFormer: Leveraging Gait Cycles and Transformers for Gait Emotion Recognition. AAAI 2025 GALLa: Graph Aligned Large Language Models for Improved Source Code Understanding ACL 2025 GAMIC: Graph-Aligned Molecular In-context Learning for Molecule Analysis via LLMs EMNLP 2025 GCAL: Adapting Graph Models to Evolving Domain Shifts ICML 2025 GCF: Estimating Unobserved Demand Using Graph Causal Forecasting AAAI 2025 G-Designer: Architecting Multi-agent Communication Topologies via Graph Neural Networks ICML 2025 GDiffRetro: Retrosynthesis Prediction with Dual Graph Enhanced Molecular Representation and Diffusion Generation AAAI 2025