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graph neural network

4,589 papers

GNNS GNN

Papers

Exploring the Power of Graph Neural Networks in Solving Linear Optimization Problems AISTATS 2024 Exploring the Role of Node Diversity in Directed Graph Representation Learning IJCAI 2024 Exponential Quantum Communication Advantage in Distributed Inference and Learning NeurIPS 2024 Expressive Multi-Agent Communication via Identity-Aware Learning AAAI 2024 Expressiveness is Effectiveness: Self-supervised Fashion-aware CLIP for Video-to-Shop Retrieval IJCAI 2024 Extending Power of Nature from Binary to Real-Valued Graph Learning in Real World ICLR 2024 Extending Test-Time Augmentation with Metamorphic Relations for Combinatorial Problems ICML 2024 Extracting Training Data from Molecular Pre-trained Models NeurIPS 2024 EyeGraph: Modularity-aware Spatio Temporal Graph Clustering for Continuous Event-based Eye Tracking NeurIPS 2024 Factorized Explainer for Graph Neural Networks AAAI 2024 Fair Graph Learning Using Constraint-Aware Priority Adjustment and Graph Masking in River Networks AAAI 2024 FairGT: A Fairness-aware Graph Transformer IJCAI 2024 FairSIN: Achieving Fairness in Graph Neural Networks through Sensitive Information Neutralization AAAI 2024 FairWire: Fair Graph Generation NeurIPS 2024 Fast Graph Sharpness-Aware Minimization for Enhancing and Accelerating Few-Shot Node Classification NeurIPS 2024 Fast Tree-Field Integrators: From Low Displacement Rank to Topological Transformers NeurIPS 2024 FBLG: A Local Graph Based Approach for Handling Dual Skewed Non-IID Data in Federated Learning IJCAI 2024 FCDS: Fusing Constituency and Dependency Syntax into Document-Level Relation Extraction COLING 2024 FC-GNN: Recovering Reliable and Accurate Correspondences from Interferences CVPR 2024 Feature Transportation Improves Graph Neural Networks AAAI 2024 Federated Graph Learning for Cross-Domain Recommendation NeurIPS 2024 Federated Graph Learning under Domain Shift with Generalizable Prototypes AAAI 2024 FedSSP: Federated Graph Learning with Spectral Knowledge and Personalized Preference NeurIPS 2024 FedTAD: Topology-aware Data-free Knowledge Distillation for Subgraph Federated Learning IJCAI 2024 Few-Shot Multimodal Named Entity Recognition Based on Mutlimodal Causal Intervention Graph COLING 2024