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Post #83

@graphml

Graph Machine Learning

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Publié17 mars17/03/2020 09:37
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Fresh picks from ArXiv This week continues with accepted papers to CVPR and WebConf, submissions to ICML, lots of interesting surveys and even happiness in graphs ☺️ Survey • Reconfiguration of Colourings and Dominating Sets in Graphs: a Survey • A Survey of Adversarial Learning on Graphs • Graph Spanners: A Tutorial Review • A Survey on Contextual Embeddings • Hyper-Parameter Optimization: A Review of Algorithms and Applications • Integrating Physics-Based Modeling with Machine Learning: A Survey CVPR 20 • Towards High-Fidelity 3D Face Reconstruction from In-the-Wild Images Using Graph Convolutional Networks • VSGNet: Spatial Attention Network for Detecting Human Object Interactions Using Graph Convolutions • Adaptive Graph Convolutional Network with Attention Graph Clustering for Co-saliency Detection WebConf 20 • Reinforced Negative Sampling over Knowledge Graph for Recommendation ICML 20 • Gauge Equivariant Mesh CNNs: Anisotropic convolutions on geometric graphs by group of Max Welling • Learning Algebraic Multigrid Using Graph Neural Networks • Wasserstein-based Graph Alignment • Evaluating Logical Generalization in Graph Neural Networks by group of William L. Hamilton • Universal Function Approximation on Graphs using Multivalued Functions Physics • Characterization of solvable spin models via graph invariants Graph Theory • Maximizing Happiness in Graphs of Bounded Clique-Width • The Reconstruction Conjecture for finite simple graphs and associated directed graphs Libraries • An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs