representation learning on graphs: methods and applications
graph representation learning
a tutorial on network embeddings
network representation learning
node2vec tutorial
graphsage
deepwalk tutorial
representation learning on networks

22 Aug 2018 Note the correspondence between community structure in the input graph and the embedding. Vertex colors represent a modularity-based18 May 2011 Graph Embedding in Vector Spaces. GbR'2011 Mini-tutorial. Jaume Gibert, Ernest Valveny. Computer Vision Center,. Universitat Aut`onoma de Learning Graph Representations with Embedding EP learns vector representations (embeddings) of graphs by passing A tutorial on spectral clustering. 12 Aug 2017 This includes methods that learn the embeddings of nodes, methods that learn representations of larger graph structures (e.g., an entire 31 Dec 2018 This article presents what graph embeddings are, their use, and the to understand it better, I suggest checking this excellent tutorial or this In this tutorial, we will cover key advancements in NRL over the last decade, to embed individual nodes as well as approaches to embed entire (sub)graphs, The spectral graph theory studies the properties of graphs via the eigenvalues and eigenvectors of their associated graph matrices: the adjacency matrix and the Modeling Data With Networks + Network Embedding: Problems, Methodologies and Frontiers. KDD 2018 Tutorial. Sunday, August 19. ICC Capital Suite Room 8 Aug 2018 on graphs such as classification, clustering, link prediction, and visualization. In this survey, we give an overview of network embeddings by