Skip to content
conftrace_

Graph Neural Networks

5,491 papers

1
2
550
904
'10
'15
'20
'25

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