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Post #545

@graphml

Graph Machine Learning

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Publié29 juin29/06/2021 05:35
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Fresh picks from ArXiv This week on ArXiv: life science package of DGL, efficient models for knowledge graphs, and explanation insights from tabular data 🤓 If I forgot to mention your paper, please shoot me a message and I will update the post. Software * DGL-LifeSci: An Open-Source Toolkit for Deep Learning on Graphs in Life Science Embeddings * Simple Truncated SVD based Model for Node Classification on Heterophilic Graphs * Exploring the Representational Power of Graph Autoencoder * NodePiece: Compositional and Parameter-Efficient Representations of Large Knowledge Graphs with Mikhail Galkin and William L. Hamilton * A Deep Latent Space Model for Graph Representation Learning Explanation * Towards Automated Evaluation of Explanations in Graph Neural Networks * Reimagining GNN Explanations with ideas from Tabular Data Survey * Graph and hypergraph colouring via nibble methods: A survey