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Post #564

@graphml

Graph Machine Learning

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Publié27 juil.27/07/2021 11:40
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Fresh picks from ArXiv This week on ArXiv: SOTA for protein energy prediction, another solution to OGB-LSC challenge, and a new dataset based on Wikipedia 📚 If I forgot to mention your paper, please shoot me a message and I will update the post. Applications * X-GGM: Graph Generative Modeling for Out-of-Distribution Generalization in Visual Question Answering * Structure-aware Interactive Graph Neural Networks for the Prediction of Protein-Ligand Binding Affinity KDD 2021 GNNs * Local2Global: Scaling global representation learning on graphs via local training * Ego-GNNs: Exploiting Ego Structures in Graph Neural Networks with William L. Hamilton * Bridging the Gap between Spatial and Spectral Domains: A Theoretical Framework for Graph Neural Networks * Large-scale graph representation learning with very deep GNNs and self-supervision with Petar Veličković * Group Contrastive Self-Supervised Learning on Graphs with Shuiwang Ji Datasets * WikiGraphs: A Wikipedia Text - Knowledge Graph Paired Dataset with Oriol Vinyals