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Post #293

@graphml

Graph Machine Learning

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Publié29 sept.29/09/2020 09:29
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Fresh picks from ArXiv Many papers caught my attention this week (and it's not because of NeurIPS), very interesting stuff: debunking value of scene graphs, extrapolation of GNNs, GraphNorm, Alibaba KG construction, closed formulas for graphlets, and applications to river dynamics 🌊 If I forgot to mention your paper, please shoot me a message and I will update the post. Conferences - Are scene graphs good enough to improve Image Captioning? AACL 2020 - Language Generation with Multi-Hop Reasoning on Commonsense Knowledge Graph EMNLP 2020 - Structure Aware Negative Sampling in Knowledge Graphs EMNLP 2020 with William L. Hamilton - Message Passing for Hyper-Relational Knowledge Graphs EMNLP 2020 with Michael Galkin - Sub-graph Contrast for Scalable Self-Supervised Graph Representation Learning ICDM 2020 -Graph neural induction of value iteration GRL+ 2020 - Heterogeneous Molecular Graph Neural Networks for Predicting Molecule Properties ICDM 2020 GNN - How Neural Networks Extrapolate: From Feedforward to Graph Neural Networks with Stefanie Jegelka - Learning Graph Normalization for Graph Neural Networks Applications - Physics-Guided Recurrent Graph Networks for Predicting Flow and Temperature in River Networks - SIA-GCN: A Spatial Information Aware Graph Neural Network with 2D Convolutions for Hand Pose Estimation Industry - AliMe KG: Domain Knowledge Graph Construction and Application in E-commerce Math - Counting five-node subgraphs Survey - A survey of graph burning