SOTAVerified

Graph Learning

Graph learning is a branch of machine learning that focuses on the analysis and interpretation of data represented in graph form. In this context, a graph is a collection of nodes (or vertices) and edges, where nodes represent entities and edges represent the relationships or interactions between these entities. This structure is particularly useful for modeling complex networks found in various domains such as social networks, biological networks, and communication networks.

Graph learning leverages the relationships and structures within the graph to learn and make predictions. It includes techniques like graph neural networks (GNNs), which extend the concept of neural networks to handle graph-structured data. These models are adept at capturing the dependencies and influence of connected nodes, leading to more accurate predictions in scenarios where relationships play a key role.

Key applications of graph learning include recommender systems, drug discovery, social network analysis, and fraud detection. By utilizing the inherent structure of graph data, graph learning algorithms can uncover deep insights and patterns that are not apparent with traditional machine learning approaches.

Papers

Showing 931940 of 1570 papers

TitleStatusHype
Hyperbolic Graph Representation Learning: A Tutorial0
pyGSL: A Graph Structure Learning ToolkitCode1
Learning Product Graphs from Spectral Templates0
Product Graph Learning from Multi-attribute Graph Signals with Inter-layer Coupling0
Time-aware Random Walk Diffusion to Improve Dynamic Graph LearningCode1
Heterogeneous Trajectory Forecasting via Risk and Scene Graph LearningCode0
GLINKX: A Scalable Unified Framework For Homophilous and Heterophilous Graphs0
Unrolled Graph Learning for Multi-Agent Collaboration0
Towards Relation-centered Pooling and Convolution for Heterogeneous Graph Learning NetworksCode2
Joint Graph Convolution for Analyzing Brain Structural and Functional Connectome0
Show:102550
← PrevPage 94 of 157Next →

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1HaloGraphNetR^20.97Unverified