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GRLA, graph representation learning
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GRLA Menu Home Introduction Schedule Speakers Papers Dates Organization 1st International Workshop on Graph Representation Learning and its Applications CIKM 2019 Workshop Introduction Graph Representation Learning & its Applications G raph structured data are ubiquitous nowadays in a variety of disciplines and domains ranging from computer science, social science, economics, medicine, to bioinformatics. Examples include social networks, knowledge graph, e-commerce networks, protein-protein interaction graphs, and molecular structures. Recently, representation learning for graphs has attracted considerable attention from researchers and communities, and led to state-of-the-art results in numerous tasks including molecule classification, new drug discovery, recommender systems, etc. This workshop aims to provide a forum for industry and academia to discuss the latest progress on graph representation learning and their applications in different fields. We exp...
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