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Graph Neural Networks

1,211 papers

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Papers

Dissecting the Failure of Invariant Learning on Graphs NeurIPS 2024 DOGE-Train: Discrete Optimization on GPU with End-to-End Training AAAI 2024 Domain Adaptation for Large-Vocabulary Object Detectors NeurIPS 2024 DTGB: A Comprehensive Benchmark for Dynamic Text-Attributed Graphs NeurIPS 2024 Dynamic Graph Representation with Knowledge-aware Attention for Histopathology Whole Slide Image Analysis CVPR 2024 Dynamicity-aware Social Bot Detection with Dynamic Graph Transformers IJCAI 2024 Dynamic Reactive Spiking Graph Neural Network AAAI 2024 Embedded Feature Selection on Graph-Based Multi-View Clustering AAAI 2024 Empowering Dual-Level Graph Self-Supervised Pretraining with Motif Discovery AAAI 2024 Enhancing Graph Transformers with Hierarchical Distance Structural Encoding NeurIPS 2024 Enhancing Student Performance Prediction on Learnersourced Questions with SGNN-LLM Synergy AAAI 2024 EPIC: Graph Augmentation with Edit Path Interpolation via Learnable Cost IJCAI 2024 Error Detection in Egocentric Procedural Task Videos CVPR 2024 Exploring the Role of Node Diversity in Directed Graph Representation Learning IJCAI 2024 FairGT: A Fairness-aware Graph Transformer IJCAI 2024 Fast Tree-Field Integrators: From Low Displacement Rank to Topological Transformers NeurIPS 2024 FC-GNN: Recovering Reliable and Accurate Correspondences from Interferences CVPR 2024 Feature Transportation Improves Graph Neural Networks AAAI 2024 FedDGL: Federated Dynamic Graph Learning for Temporal Evolution and Data Heterogeneity ACML 2024 From Coupled Oscillators to Graph Neural Networks: Reducing Over-smoothing via a Kuramoto Model-based Approach AISTATS 2024 Full-Body Motion Reconstruction with Sparse Sensing from Graph Perspective AAAI 2024 Fully-Connected Spatial-Temporal Graph for Multivariate Time-Series Data AAAI 2024 G^2SAM: Graph-Based Global Semantic Awareness Method for Multimodal Sarcasm Detection AAAI 2024 Gaussian process regression with Sliced Wasserstein Weisfeiler-Lehman graph kernels AISTATS 2024 Generalizing CNNs to graphs with learnable neighborhood quantization NeurIPS 2024