Co-occurring keywords · papers mentioning both
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