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Post #152

@graphml

Graph Machine Learning

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Publié19 mai19/05/2020 09:01
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Fresh picks from ArXiv This week highlights papers on scene graph generation, isomorphism testing by GNNs and WL, and weight estimation of pork cuts 🐖 GNN • How hard is graph isomorphism for graph neural networks? by Andreas Loukas • Neural Stochastic Block Model & Scalable Community-Based Graph Learning • Graph Density-Aware Losses for Novel Compositions in Scene Graph Generation • Structured Query-Based Image Retrieval Using Scene Graphs • Isometric Transformation Invariant and Equivariant Graph Convolutional Networks • SpectralWeight: a spectral graph wavelet framework for weight prediction of pork cuts Conferences • Integrating Semantic and Structural Information with Graph Convolutional Network for Controversy Detection ACL 20 • GoGNN: Graph of Graphs Neural Network for Predicting Structured Entity Interactions IJCAI 20 • Document Modeling with Graph Attention Networks for Multi-grained Machine Reading Comprehension ACL 20 Graph Theory • Acyclic edge coloring conjecture is true on planar graphs without intersecting triangles • The Weifeiler-Leman Algorithm and Recognition of Graph Properties Surveys • Visual Relationship Detection using Scene Graphs: A Survey • Foundations and modelling of dynamic networks using Dynamic Graph Neural Networks: A survey • Recent Advances in SQL Query Generation: A Survey • Explainable Reinforcement Learning: A Survey