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Post #43

@graphml

Graph Machine Learning

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Publié11 févr.11/02/2020 09:51
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Fresh picks from ArXiv ICML 20 submissions, AISTATS 20, graphs in math, and Stephen Hawking 👨‍🔬 ICML 2020 submissions Fast Detection of Maximum Common Subgraph via Deep Q-Learning (https://arxiv.org/abs/2002.03129) Random Features Strengthen Graph Neural Networks (https://arxiv.org/abs/2002.03155) Hierarchical Generation of Molecular Graphs using Structural Motifs (https://arxiv.org/pdf/2002.03230.pdf) Graph Neural Distance Metric Learning with Graph-Bert (https://arxiv.org/abs/2002.03427) Segmented Graph-Bert for Graph Instance Modeling (https://arxiv.org/abs/2002.03283) Haar Graph Pooling (https://arxiv.org/abs/1909.11580) Constant Time Graph Neural Networks (https://arxiv.org/abs/1901.07868) AISTATS 20 Laplacian-Regularized Graph Bandits: Algorithms and Theoretical Analysis (https://arxiv.org/abs/1907.05632) Math Some arithmetical problems that are obtained by analyzing proofs and infinite graphs (https://arxiv.org/abs/2002.03075) Extra pearls in graph theory (https://arxiv.org/abs/1812.06627) Distance Metric Learning for Graph Structured Data (https://arxiv.org/abs/2002.00727) Surveys Generalized metric spaces. Relations with graphs, ordered sets and automata : A survey (https://arxiv.org/abs/2002.03019) Stephen Hawking👨‍🔬 Stephen William Hawking: A Biographical Memoir (https://arxiv.org/abs/2002.03185)