Showing 1–17 of 17 results
/ Date/ Name
May 24, 2019A Research and Strategy of Remote Sensing Image Denoising AlgorithmsJan 20, 2023Introducing Expertise Logic into Graph Representation Learning from A Causal PerspectiveJun 13, 2024Introducing Diminutive Causal Structure into Graph Representation LearningFeb 5, 2026Causal Front-Door Adjustment for Robust Jailbreak Attacks on LLMsMay 24, 2019A Comparison and Strategy of Semantic Segmentation on Remote Sensing ImagesJul 17, 2023Unbiased Image Synthesis via Manifold Guidance in Diffusion ModelsMay 31, 2023Manifold Constraint Regularization for Remote Sensing Image GenerationSep 13, 2024Molecular Graph Representation Learning via Structural Similarity InformationMar 18, 2024Graph Partial Label Learning with Potential Cause DiscoveringMay 13, 2025LLM Enhancers for GNNs: An Analysis from the Perspective of Causal Mechanism IdentificationOct 4, 2024MBDS: A Multi-Body Dynamics Simulation Dataset for Graph Networks SimulatorsDec 11, 2024Bootstrapping Heterogeneous Graph Representation Learning via Large Language Models: A Generalized ApproachDec 15, 2023Rethinking Causal Relationships Learning in Graph Neural NetworksMar 9, 2023Intriguing Property and Counterfactual Explanation of GAN for Remote Sensing Image GenerationMay 9, 2025Learn to Think: Bootstrapping LLM Reasoning Capability Through Graph Representation LearningJan 19, 2026Efficient Code Analysis via Graph-Guided Large Language ModelsApr 10, 2026A Closer Look at the Application of Causal Inference in Graph Representation Learning