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Fresh picks from ArXiv This week people share their works they submitted to NeurIPS, a lot of interesting papers from the top people in GML. GNN • From Graph Low-Rank Global Attention to 2-FWL Approximation with Yaron Lipman • Graph Meta Learning via Local Subgraphs with Marinka Zitnik • Data Augmentation for Graph Neural Networks • Towards Deeper Graph Neural Networks with Differentiable Group Normalization • Learning Graph Models for Template-Free Retrosynthesis with Regina Barzilay • Wide and Deep Graph Neural Networks with Distributed Online Learning • Pointer Graph Networks with Petar Veličković • Optimal Transport Graph Neural Networks with Octavian-Eugen Ganea, Regina Barzilay, Tommi Jaakkola • Manifold structure in graph embeddings • On the Bottleneck of Graph Neural Networks and its Practical Implications Conferences • Exploring Algorithmic Fairness in Robust Graph Covering Problems NeurIPS 2019 Surveys • A Survey on Generative Adversarial Networks: Variants, Applications, and Training