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Post #157

@graphml

Graph Machine Learning

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Publié26 mai26/05/2020 09:01
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Fresh picks from ArXiv This week has more papers from upcoming ACL, SIGIR, and KDD; a new survey on combinatorial optimization on graphs; and Borsuk's conjecture 🐹 Conferences • Joint Item Recommendation and Attribute Inference: An Adaptive Graph Convolutional Network Approach SIGIR 20 • ATBRG: Adaptive Target-Behavior Relational Graph Network for Effective Recommendation SIGIR 20 • Connecting the Dots: Multivariate Time Series Forecasting with Graph Neural Networks KDD 20 • Understanding Negative Sampling in Graph Representation Learning KDD 20 • Leveraging Graph to Improve Abstractive Multi-Document Summarization ACL 20 • M2GRL: A Multi-task Multi-view Graph Representation Learning Framework for Web-scale Recommender Systems KDD 20 • Graph Structure Learning for Robust Graph Neural Networks KDD 20 Surveys • Learning Combinatorial Optimization on Graphs: A Survey with Applications to Networking • How to Build a Graph-Based Deep Learning Architecture in Traffic Domain: A Survey • Motif Discovery Algorithms in Static and Temporal Networks: A Survey Graph Theory • The Weisfeiler-Leman dimension of distance-hereditary graphs • Counterexamples to Borsuk's conjecture from a third strongly regular graph • A Group-Theoretic Framework for Knowledge Graph Embedding