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

Semantic Routing via Autoregressive Modeling NIPS 2024

Linear Causal Bandits: Unknown Graph and Soft Interventions NIPS 2024

DNNLasso: Scalable Graph Learning for Matrix-Variate Data AISTATS 2024

Tumor Micro-environment Interactions Guided Graph Learning for Survival Analysis of Human Cancers from Whole-slide Pathological Images CVPR 2024

Learning the Topology and Behavior of Discrete Dynamical Systems AAAI 2024

TREE-G: Decision Trees Contesting Graph Neural Networks AAAI 2024

T-NET: Weakly Supervised Graph Learning for Combatting Human Trafficking AAAI 2024

Data-Efficient Graph Learning AAAI 2024

Integrating Vision-Language Semantic Graphs in Multi-View Clustering IJCAI 2024

Learning Cartesian Product Graphs with Laplacian Constraints AISTATS 2024

GmGM: a fast multi-axis Gaussian graphical model AISTATS 2024

Learning on Large Graphs using Intersecting Communities NIPS 2024

Optimal Graph Learning and Nuclear Norm Maximization for Deep Cross-Domain Robust Label Propagation IJCAI 2024

Sparse Graph Learning from Spatiotemporal Time Series JMLR 2023

Efficiently learning the graph for semi-supervised learning UAI 2023

Joint Feature and Differentiable $ k $-NN Graph Learning using Dirichlet Energy NIPS 2023

A Crowd-AI Collaborative Duo Relational Graph Learning Framework towards Social Impact Aware Photo Classification AAAI 2023

Heterogeneous Graph Learning for Multi-Modal Medical Data Analysis AAAI 2023

Highly Confident Local Structure Based Consensus Graph Learning for Incomplete Multi-View Clustering CVPR 2023

Deep Insights into Noisy Pseudo Labeling on Graph Data NIPS 2023

Let the Data Choose: Flexible and Diverse Anchor Graph Fusion for Scalable Multi-View Clustering AAAI 2023

LogSpecT: Feasible Graph Learning Model from Stationary Signals with Recovery Guarantees NIPS 2023

Meek Separators and Their Applications in Targeted Causal Discovery NIPS 2023

Adaptive Gaussian Processes on Graphs via Spectral Graph Wavelets AISTATS 2022

Efficient and passive learning of networked dynamical systems driven by non-white exogenous inputs AISTATS 2022