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Graph Machine Learning

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Publié16 févr.16/02/2021 10:07
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Fresh picks from ArXiv This week on ArXiv: connection between heterohpily and oversmoothing, SOTA unsupervised model, and MCTS for explainability 📞 GNNs * Two Sides of the Same Coin: Heterophily and Oversmoothing in Graph Convolutional Neural Networks with Danai Koutra * Bootstrapped Representation Learning on Graphs with Petar Veličković * On Explainability of Graph Neural Networks via Subgraph Explorations * Spherical Message Passing for 3D Graph Networks * A Unified Lottery Ticket Hypothesis for Graph Neural Networks * Graph Convolution for Semi-Supervised Classification: Improved Linear Separability and Out-of-Distribution Generalization * SLAPS: Self-Supervision Improves Structure Learning for Graph Neural Networks Conferences * Learning Intents behind Interactions with Knowledge Graph for Recommendation WWW 2021 * Multiplex Bipartite Network Embedding using Dual Hypergraph Convolutional Networks WWW 2021 * Model-Agnostic Graph Regularization for Few-Shot Learning with Jure Leskovec