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Graph Neural Networks

5,491 papers

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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