Advanced Graph Neural Networks

Advanced Graph Neural Networks is a research topic within Artificial Intelligence. Science Explorer counts 21k research works in it since 1964. 9.7% of them reached the world's top 10% most cited for their field and year.

This cluster of papers focuses on the development, applications, and techniques related to Graph Neural Networks (GNNs) and their variants. It covers topics such as knowledge graph embedding, representation learning, network embedding, deep learning, graph convolutional networks, heterogeneous networks, relational data modeling, signal processing on graphs, and semi-supervised learning.

• Graph Neural Networks
• Knowledge Graph Embedding
• Representation Learning
• Network Embedding
• Deep Learning
• Graph Convolutional Networks
• Heterogeneous Networks
• Relational Data Modeling
• Signal Processing on Graphs
• Semi-Supervised Learning