Showing 1–20 of 30 results
/ Date/ Name
Oct 17, 2023Accelerating Scalable Graph Neural Network Inference with Node-Adaptive PropagationMay 22, 2024Rethinking and Accelerating Graph Condensation: A Training-Free Approach with Class PartitionFeb 27, 2023Semantic-aware Node Synthesis for Imbalanced Heterogeneous Information NetworksFeb 13, 2025A Comprehensive Survey on Imbalanced Data LearningJun 11, 2025A Hierarchical Probabilistic Framework for Incremental Knowledge Tracing in Classroom SettingsNov 1, 2022Efficient Graph Neural Network Inference at Large ScaleJun 19, 2024RobGC: Towards Robust Graph CondensationJul 29, 2023Graph Condensation for Inductive Node Representation LearningMay 27, 2024Graph Condensation for Open-World Graph LearningJan 22, 2024Graph Condensation: A SurveyNov 26, 2024Contrastive Graph Condensation: Advancing Data Versatility through Self-Supervised LearningOct 8, 2025Relational Database Distillation: From Structured Tables to Condensed Graph DataAug 16, 2019Adaptive Embedding Pattern for Grayscale-Invariance Reversible Data HidingSep 18, 2024ID-Free Not Risk-Free: LLM-Powered Agents Unveil Risks in ID-Free Recommender SystemsOct 14, 2024HGAurban: Heterogeneous Graph Autoencoding for Urban Spatial-Temporal LearningFeb 9, 2025Norm Augmented Graph AutoEncoders for Link PredictionAug 7, 2024Reliable Node Similarity Matrix Guided Contrastive Graph ClusteringMar 18, 2022Reinforcement Learning based Voice Interaction to Clear Path for Robots in Elevator EnvironmentOct 30, 2024Dataset Awareness is not Enough: Implementing Sample-level Tail Encouragement in Long-tailed Self-supervised LearningNov 20, 2024Epidemiology-informed Network for Robust Rumor Detection