graph regularization

NeuralFSM: Adaptive Multi-Agent Coordination via Learning Finite-State Execution Policy ACL 2026 Towards Dynamic Modality Alignment in Multimodal Continual Learning CVPR 2026 A Relaxed Symmetric Non-negative Matrix Factorization Approach for Community Discovery (Extended Abstract) IJCAI 2025 Learning on Large Graphs using Intersecting Communities NeurIPS 2024 Sample-Level Cross-View Similarity Learning for Incomplete Multi-View Clustering AAAI 2024 Unknown-Aware Graph Regularization for Robust Semi-supervised Learning from Uncurated Data AAAI 2024 Edge Structure Learning via Low Rank Residuals for Robust Image Classification AAAI 2023 Learning Graph Regularisation for Guided Super-Resolution CVPR 2022 Machine Learning on Graphs: A Model and Comprehensive Taxonomy JMLR 2022 RU-Net: Regularized Unrolling Network for Scene Graph Generation CVPR 2022 CoMatch: Semi-Supervised Learning With Contrastive Graph Regularization ICCV 2021 Consistent Semi-Supervised Graph Regularization for High Dimensional Data JMLR 2021 Deep Metric Learning with Graph Consistency AAAI 2021 Rethinking Graph Regularization for Graph Neural Networks AAAI 2021 Fiedler Regularization: Learning Neural Networks with Graph Sparsity ICML 2020 Scalable Probabilistic Matrix Factorization with Graph-Based Priors AAAI 2020 Spectral Embedding of Regularized Block Models ICLR 2020 Zero Shot Learning with the Isoperimetric Loss AAAI 2020 Feature Sampling Based Unsupervised Semantic Clustering for Real Web Multi-View Content AAAI 2019 Generalized Matrix Means for Semi-Supervised Learning with Multilayer Graphs NeurIPS 2019 Multiple Independent Subspace Clusterings AAAI 2019 Unified Embedding Alignment with Missing Views Inferring for Incomplete Multi-View Clustering AAAI 2019 Exploiting Graph Regularized Multi-dimensional Hawkes Processes for Modeling Events with Spatio-temporal Characteristics IJCAI 2018 Semi-Supervised Learning via Compact Latent Space Clustering ICML 2018 Understanding Regularized Spectral Clustering via Graph Conductance NeurIPS 2018