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Fresh picks from ArXiv It's Tuesday and so it means we look back at the previous week of ArXiv. In today's episode, among most interesting papers, a new knowledge graph for PubMed 💊 and new surveys on graph machine learning and quantum deep learning ✍️ Applications • Building a PubMed knowledge graph • Reinforcement Learning with Feedback Graphs • Predicting gene expression from network topology using graph neural networks • On new record graphs close to bipartite Moore graphs Conferences • Bundle Recommendation with Graph Convolutional Networks SIGIR 20 • TAGNN: Target Attentive Graph Neural Networks for Session-based Recommendation SIGIR 20 • Adversarial Graph Embeddings for Fair Influence Maximization over Social Networks IJCAI 20 • Autoencoding Pixies: Amortised Variational Inference with Graph Convolutions for Functional Distributional Semantics ACL 20 Survey • Machine Learning on Graphs: A Model and Comprehensive Taxonomy with Christopher Ré • Comparison and Benchmark of Graph Clustering Algorithms • Advances in Quantum Deep Learning: An Overview