Showing 1–20 of 32 results
/ Date/ Name
Jan 7, 2025Deep Learning within Tabular Data: Foundations, Challenges, Advances and Future DirectionsMar 16, 2021GraphSMOTE: Imbalanced Node Classification on Graphs with Graph Neural NetworksMar 16, 2021Semi-Supervised Graph-to-Graph TranslationJan 7, 2023Faithful and Consistent Graph Neural Network Explanations with Rationale AlignmentDec 16, 2022TopoImb: Toward Topology-level Imbalance in Learning from GraphsJun 13, 2023Skill Disentanglement for Imitation Learning from Suboptimal DemonstrationsSep 30, 2023Interpretable Imitation Learning with Dynamic Causal RelationsFeb 13, 2024Disambiguated Node Classification with Graph Neural NetworksJun 14, 2024Multi-source Unsupervised Domain Adaptation on Graphs with Transferability ModelingOct 3, 2025Hybrid-Collaborative Augmentation and Contrastive Sample Adaptive-Differential Awareness for Robust Attributed Graph ClusteringMay 27, 2022Towards Faithful and Consistent Explanations for Graph Neural NetworksFeb 23, 2022Exploring Edge Disentanglement for Node ClassificationJun 10, 2022Synthetic Over-sampling for Imbalanced Node Classification with Graph Neural NetworksApr 29, 2021Towards Fair Classifiers Without Sensitive Attributes: Exploring Biases in Related FeaturesJul 25, 2024HC-GST: Heterophily-aware Distribution Consistency based Graph Self-trainingJul 19, 2024Enhancing Graph Neural Networks with Limited Labeled Data by Actively Distilling Knowledge from Large Language ModelsOct 15, 2024Enhance Graph Alignment for Large Language ModelsApr 18, 2022A Comprehensive Survey on Trustworthy Graph Neural Networks: Privacy, Robustness, Fairness, and ExplainabilityOct 29, 2025Generalizing Test-time Compute-optimal Scaling as an Optimizable GraphMay 27, 2021Times Series Forecasting for Urban Building Energy Consumption Based on Graph Convolutional Network