About this document
Graph Representation Learning Overview by sima.at87 is a document available to read on EtoBox.
The document is a comprehensive overview of graph representation learning, highlighting its importance in various fields such as telecommunications and quantum chemistry. It discusses the integration of relational inductive biases into deep learning architectures and reviews methods for learning node embeddings and graph neural networks. The book also synthesizes recent advancements in deep generative models for graphs, showcasing their applications in areas like chemical synthesis and social network analys
- Author
- sima.at87
- Language
- EN