GRLA 2018 - 1st International Workshop on Large Scale Graph Representation Learning and Applications

Graph is a common representation for relational data. Typical graphs range from professional networks (e.g., LinkedIn), social networks (e.g., Facebook), bibliography networks (e.g., DBLP), to e-commerce networks (e.g., Taobao) and so on. Graph representation learning is a powerful technology to turn the graphs into useful insights. It enables many meaningful applications, such as link prediction, semantic proximity search, user profiling, friend recommendation, and social advertising. We propose to organize a workshop on large-scale graph representation learning and applications (GRLA), in association with The IEEE International Conference on Data Mining (ICDM) 2018. This workshop aims to: 1) contribute to the research development of graph representation learning, and 2) provide a communication platform for both research and industry communities to explore the useful application scenarios in practice.