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Fresh picks from ArXiv This week on ArXiv: robot planning in the presence of many objects by researchers at MIT, a new SOTA on probabilistic type inference for software, application of GNN to trying clothes to different body shapes 👚 Applications - Planning with Learned Object Importance in Large Problem Instances using Graph Neural Networks with Joshua Tenenbaum - Advanced Graph-Based Deep Learning for Probabilistic Type Inference - GINet: Graph Interaction Network for Scene Parsing ECCV 20 - Fully Convolutional Graph Neural Networks for Parametric Virtual Try-On SIGGRAPH 2020 - Addressing Cold Start in Recommender Systems with Hierarchical Graph Neural Networks Theory - Learning an Interpretable Graph Structure in Multi-Task Learning - Transfer Learning of Graph Neural Networks with Ego-graph Information Maximization - Adversarial Attack on Large Scale Graph