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Post #644

@graphml

Graph Machine Learning

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Publié14 déc.14/12/2021 09:51
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Fresh picks from ArXiv This week on ArXiv: belief propagation guarantees, scaling molecular GNNs, and debunking multi-label graph embeddings 🧙‍ If I forgot to mention your paper, please shoot me a message and I will update the post. GNN * A Comparative Study on Robust Graph Neural Networks to Structural Noises * Convergence of Generalized Belief Propagation Algorithm on Graphs with Motifs * LUNAR: Unifying Local Outlier Detection Methods via Graph Neural Networks AAAI 2022 * A Self-supervised Mixed-curvature Graph Neural Network AAAI 2022 * Robustification of Online Graph Exploration Methods AAAI 2022 * Neural Belief Propagation for Scene Graph Generation * Adaptive Kernel Graph Neural Network AAAI 2022 * On the Use of Unrealistic Predictions in Hundreds of Papers Evaluating Graph Representations AAAI 2022 * Scalable Geometric Deep Learning on Molecular Graphs * OOD-GNN: Out-of-Distribution Generalized Graph Neural Network