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@graphml

Graph Machine Learning

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Publié12 janv.12/01/2021 09:29
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Fresh picks from ArXiv Today at ArXiv: LP on graph with attributes, dynamic graph embeddings, and food recommendation with knowledge graphs 🍕 If I forgot to mention your paper, please shoot me a message and I will update the post. Conferences * Predicting Patient Outcomes with Graph Representation Learning with Petar Veličković, Workshop AAAI 2021 * Reinforced Imitative Graph Representation Learning for Mobile User Profiling: An Adversarial Training Perspective AAAI 2021 * Personalized Food Recommendation as Constrained Question Answering over a Large-scale Food Knowledge Graph WSDM 2021 * SDGNN: Learning Node Representation for Signed Directed Networks AAAI 2021 GNNs * Symmetry-adapted graph neural networks for constructing molecular dynamics force fields * SE(3)-Equivariant Graph Neural Networks for Data-Efficient and Accurate Interatomic Potentials * GraphHop: An Enhanced Label Propagation Method for Node Classification * MöbiusE: Knowledge Graph Embedding on Möbius Ring * Node2Seq: Towards Trainable Convolutions in Graph Neural Networks Survey * A Survey on Embedding Dynamic Graphs * Does double-blind peer-review reduce bias? Evidence from a top computer science conference