Graph Neural Networks
5,491 papers
Papers per year
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4
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13
23
66
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550
686
703
817
962
904
395
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Papers
Pure Message Passing Can Estimate Common Neighbor for Link Prediction
NeurIPS 2024
PURE: Prompt Evolution with Graph ODE for Out-of-distribution Fluid Dynamics Modeling
NeurIPS 2024
Quantum Positional Encodings for Graph Neural Networks
ICML 2024
Query-by-Example Keyword Spotting Using Spectral-Temporal Graph Attentive Pooling and Multi-Task Learning
Interspeech 2024
RAGraph: A General Retrieval-Augmented Graph Learning Framework
NeurIPS 2024
Rank and Align: Towards Effective Source-free Graph Domain Adaptation
IJCAI 2024
Rayleigh Quotient Graph Neural Networks for Graph-level Anomaly Detection
ICLR 2024
Recurrent Distance Filtering for Graph Representation Learning
ICML 2024
Recurrent Graph Neural Networks and Their Connections to Bisimulation and Logic
AAAI 2024
Refining Latent Homophilic Structures over Heterophilic Graphs for Robust Graph Convolution Networks
AAAI 2024
ReGCL: Rethinking Message Passing in Graph Contrastive Learning
AAAI 2024
RegExplainer: Generating Explanations for Graph Neural Networks in Regression Tasks
NeurIPS 2024
Related Work Is All You Need
COLING 2024
Relational Concept Bottleneck Models
NeurIPS 2024
Relation Rectification in Diffusion Model
CVPR 2024
RelBench: A Benchmark for Deep Learning on Relational Databases
NeurIPS 2024
Replay-and-Forget-Free Graph Class-Incremental Learning: A Task Profiling and Prompting Approach
NeurIPS 2024
Reprogramming Pretrained Target-Specific Diffusion Models for Dual-Target Drug Design
NeurIPS 2024
Reshaping the Online Data Buffering and Organizing Mechanism for Continual Test-Time Adaptation
ECCV 2024
Residual Graph Convolutional Network for Bird's-Eye-View Semantic Segmentation
WACV 2024
Residual Hyperbolic Graph Convolution Networks
AAAI 2024
ResMatch: Residual Attention Learning for Feature Matching
AAAI 2024
REST: Efficient and Accelerated EEG Seizure Analysis through Residual State Updates
ICML 2024
Rethinking and Extending the Probabilistic Inference Capacity of GNNs
ICLR 2024
Rethinking Causal Relationships Learning in Graph Neural Networks
AAAI 2024