Graph Neural Networks
5,491 papers
Papers per year
3
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3
7
4
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2
13
23
66
348
550
686
703
817
962
904
395
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Papers
Training-Free Message Passing for Learning on Hypergraphs
ICLR 2025
Training One-Dimensional Graph Neural Networks is NP-Hard
ICLR 2025
Transformers from Diffusion: A Unified Framework for Neural Message Passing
JMLR 2025
TreeFormer: Single-View Plant Skeleton Estimation via Tree-Constrained Graph Generation
WACV 2025
Trust-GRS: A Trustworthy Training Framework for Graph Neural Network Based Recommender Systems Against Shilling Attacks
AAAI 2025
Tuning Algorithmic and Architectural Hyperparameters in Graph-Based Semi-Supervised Learning with Provable Guarantees
UAI 2025
Uncertainty Estimation for Heterophilic Graphs Through the Lens of Information Theory
ICML 2025
Uncertainty-guided Graph Contrastive Learning from a Unified Perspective
IJCAI 2025
Uncertainty Modeling in Graph Neural Networks via Stochastic Differential Equations
ICLR 2025
Understanding GNNs and Homophily in Dynamic Node Classification
AISTATS 2025
Understanding the Effect of GCN Convolutions in Regression Tasks
AISTATS 2025
Understanding Virtual Nodes: Oversquashing and Node Heterogeneity
ICLR 2025
Unifews: You Need Fewer Operations for Efficient Graph Neural Networks
ICML 2025
Unified Graph Neural Networks Pre-training for Multi-domain Graphs
AAAI 2025
UniFORM: Towards Unified Framework for Anomaly Detection on Graphs
AAAI 2025
Unifying Knowledge from Diverse Datasets to Enhance Spatial-Temporal Modeling: A Granularity-Adaptive Geographical Embedding Approach
ICML 2025
Unifying Unsupervised Graph-Level Anomaly Detection and Out-of-Distribution Detection: A Benchmark
ICLR 2025
UniMatch: Universal Matching from Atom to Task for Few-Shot Drug Discovery
ICLR 2025
UniTR: A Unified Framework for Joint Representation Learning of Trajectories and Road Networks
AAAI 2025
Unlocking the Potential of Black-box Pre-trained GNNs for Graph Few-shot Learning
AAAI 2025
Unmasking Fake Careers: Detecting Machine-Generated Career Trajectories via Multi-layer Heterogeneous Graphs
EMNLP 2025
Unveiling the Threat of Fraud Gangs to Graph Neural Networks: Multi-Target Graph Injection Attacks Against GNN-Based Fraud Detectors
AAAI 2025
Valid Conformal Prediction for Dynamic GNNs
ICLR 2025
Variational Graph Auto-Encoder Driven Graph Enhancement for Sequential Recommendation
IJCAI 2025
Verifying Quantized Graph Neural Networks is PSPACE-complete
IJCAI 2025