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Post #509

@graphml

Graph Machine Learning

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Publié18 mai18/05/2021 07:02
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Fresh picks from ArXiv This week on ArXiv: power of WL, explaining molecular GNNs, and a survey on NFTs 🖼 If I forgot to mention your paper, please shoot me a message and I will update the post. Applications * Explicit Semantic Cross Feature Learning via Pre-trained Graph Neural Networks for CTR Prediction SIGIR 2021 * Learning Unknown from Correlations: Graph Neural Network for Inter-novel-protein Interaction Prediction IJCAI 2021 * REGINA - Reasoning Graph Convolutional Networks in Human Action Recognition Algorithms * Two Influence Maximization Games on Graphs Made Temporal IJCAI 2021 * Unsupervised Knowledge Graph Alignment by Probabilistic Reasoning and Semantic Embedding IJCAI 2021 GNNs * Multi-Scale Contrastive Siamese Networks for Self-Supervised Graph Representation Learning IJCAI 2021 * Improving Molecular Graph Neural Network Explainability with Orthonormalization and Induced Sparsity ICML 2021 Survey * Self-supervised on Graphs: Contrastive, Generative,or Predictive * The Power of the Weisfeiler-Leman Algorithm for Machine Learning with Graphs with Christopher Morris, Matthias Fey, Nils M. Kriege, IJCAI 2021 * Graph Learning based Recommender Systems: A Review * Non-Fungible Token (NFT): Overview, Evaluation, Opportunities and Challenges