conftrace_

graph regularization

30 papers

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Co-occurring keywords

semi-supervised learning (2341) graph neural network (3962) matrix factorization (529) manifold learning (403) representation learning (6206) multi-view clustering (199) matrix completion (356) non-negative matrix factorization (100) graph laplacian regularization (6) message passing (579)

Papers

NeuralFSM: Adaptive Multi-Agent Coordination via Learning Finite-State Execution Policy ACL 2026
A Relaxed Symmetric Non-negative Matrix Factorization Approach for Community Discovery (Extended Abstract) IJCAI 2025
Sample-Level Cross-View Similarity Learning for Incomplete Multi-View Clustering AAAI 2024
Learning on Large Graphs using Intersecting Communities NIPS 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
Machine Learning on Graphs: A Model and Comprehensive Taxonomy JMLR 2022
Learning Graph Regularisation for Guided Super-Resolution CVPR 2022
RU-Net: Regularized Unrolling Network for Scene Graph Generation CVPR 2022
Rethinking Graph Regularization for Graph Neural Networks AAAI 2021
Consistent Semi-Supervised Graph Regularization for High Dimensional Data JMLR 2021
Deep Metric Learning with Graph Consistency AAAI 2021
CoMatch: Semi-Supervised Learning With Contrastive Graph Regularization ICCV 2021
Fiedler Regularization: Learning Neural Networks with Graph Sparsity ICML 2020
Scalable Probabilistic Matrix Factorization with Graph-Based Priors AAAI 2020
Zero Shot Learning with the Isoperimetric Loss AAAI 2020
Multiple Independent Subspace Clusterings AAAI 2019
Feature Sampling Based Unsupervised Semantic Clustering for Real Web Multi-View Content AAAI 2019
Unified Embedding Alignment with Missing Views Inferring for Incomplete Multi-View Clustering AAAI 2019
Generalized Matrix Means for Semi-Supervised Learning with Multilayer Graphs NIPS 2019
Semi-Supervised Learning via Compact Latent Space Clustering ICML 2018
Understanding Regularized Spectral Clustering via Graph Conductance NIPS 2018
Exploiting Graph Regularized Multi-dimensional Hawkes Processes for Modeling Events with Spatio-temporal Characteristics IJCAI 2018
Linear Manifold Regularization with Adaptive Graph for Semi-supervised Dimensionality Reduction IJCAI 2017
Collaborative Filtering with Graph Information: Consistency and Scalable Methods NIPS 2015