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graph learning

120 papers

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Co-occurring keywords

graph neural network (3945) semi-supervised learning (2331) multi-view clustering (199) node classification (480) large language model (12755) causal discovery (459) label propagation (185) link prediction (620) sample complexity (1158) graph structure (189)

Papers

Unifying Multi-View Knowledge for Graph Learning via Model Collaboration AAAI 2026
Anchor-Guided Discriminative Subspace Alignment and Clustering for Cross-Scene Hyperspectral Imagery AAAI 2026
DHMRec: Collaboration-Guided Multimodal Disentanglement and Hierarchical Fusion for Recommendation AAAI 2026
LMGL-WD: LLM-Guided Multi-Task Graph Learning for Category-Level Warehouse Demand Prediction in E-Commerce AAAI 2026
DOTGraph: CLIP-Driven Feature Disentanglement and Optimal Transport based Graph Learning for Few-Shot Segmentation WACV 2026
Prototype-Guided Supervision for Graph Learning with Noisy and Sparse Labels AAAI 2026
How to Make LMs Strong Node Classifiers? EACL 2026
HybridMQA: Exploring Geometry-Texture Interactions for Colored Mesh Quality Assessment CVPR 2025
My Words Imply Your Opinion: Reader Agent-Based Propagation Enhancement for Personalized Implicit Emotion Analysis ACL 2025
A Survey of Structural Entropy: Theory, Methods, and Applications IJCAI 2025
Collaborative Similarity Fusion and Consistency Recovery for Incomplete Multi-view Clustering AAAI 2025
High-Confident Local Structure Guided Consensus Graph Learning For Incomplete Multi-view Clustering IJCAI 2025
Each graph is a new language: Graph Learning with LLMs ACL 2025
TGLsta: Low-resource Textual Graph Learning with Semantic and Topological Awareness via LLMs AAAI 2025
Reinforcement Active Client Selection for Federated Heterogeneous Graph Learning AAAI 2025
Neural Variable-Order Fractional Differential Equation Networks AAAI 2025
Text-Attributed Graph Learning with Coupled Augmentations COLING 2025
Boosting Short Text Classification with Multi-Source Information Exploration and Dual-Level Contrastive Learning AAAI 2025
DNNLasso: Scalable Graph Learning for Matrix-Variate Data AISTATS 2024
Category-Level Multi-Part Multi-Joint 3D Shape Assembly CVPR 2024
GmGM: a fast multi-axis Gaussian graphical model AISTATS 2024
Optimal Graph Learning and Nuclear Norm Maximization for Deep Cross-Domain Robust Label Propagation IJCAI 2024
Learning the Topology and Behavior of Discrete Dynamical Systems AAAI 2024
Tumor Micro-environment Interactions Guided Graph Learning for Survival Analysis of Human Cancers from Whole-slide Pathological Images CVPR 2024
Data-Efficient Graph Learning AAAI 2024