Graph Neural Networks
5,491 papers
Papers per year
3
1
1
3
7
4
3
2
13
23
66
348
550
686
703
817
962
904
395
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Papers
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
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
FairSIN: Achieving Fairness in Graph Neural Networks through Sensitive Information Neutralization
AAAI 2024
Faster Local Solvers for Graph Diffusion Equations
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
FC-GNN: Recovering Reliable and Accurate Correspondences from Interferences
CVPR 2024
Feature Distribution on Graph Topology Mediates the Effect of Graph Convolution: Homophily Perspective
ICML 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
Federated Learning For Heterogeneous Electronic Health Records Utilising Augmented Temporal Graph Attention Networks
AISTATS 2024
Federated Self-Explaining GNNs with Anti-shortcut Augmentations
ICML 2024
FedSSP: Federated Graph Learning with Spectral Knowledge and Personalized Preference
NeurIPS 2024
Few-Shot Event Argument Extraction Based on a Meta-Learning Approach
NAACL 2024
Few-Shot Semantic Dependency Parsing via Graph Contrastive Learning
COLING 2024
Fine-Grained Multi-View Hand Reconstruction Using Inverse Rendering
AAAI 2024