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Post #319

@graphml

Graph Machine Learning

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Publié20 oct.20/10/2020 09:01
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Fresh picks from ArXiv Today at ArXiv: generalization of GNNs, faster graphlet kernels, and sunshine graphs ☀️ If I forgot to mention your paper, please shoot me a message and I will update the post. GNN - Discriminability of Single-Layer Graph Neural Networks with Alejandro Ribeiro - On Size Generalization in Graph Neural Networks with Haggai Maron - Bi-GCN: Binary Graph Convolutional Network - Fast Graph Kernel with Optical Random Features - Scalable Graph Networks for Particle Simulations - Disentangled Dynamic Graph Deep Generation Math - Supercards, Sunshines and Caterpillar Graphs - An Extension of the Birkhoff-von Neumann Theorem to Non-Bipartite Graphs with Vijay V. Vazirani Conferences - Natural Language Rationales with Full-Stack Visual Reasoning: From Pixels to Semantic Frames to Commonsense Graphs EMNLP 2020 - Supertagging Combinatory Categorial Grammar with Attentive Graph Convolutional Networks EMNLP - A Graph Representation of Semi-structured Data for Web Question Answering COLING 2020 - STP-UDGAT: Spatial-Temporal-Preference User Dimensional Graph Attention Network for Next POI Recommendation CIKM 2020 - Enhancing Extractive Text Summarization with Topic-Aware Graph Neural Networks COLING 2020