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Fresh picks from ArXiv This week on ArXiv: graph embeddings for drug discovery, new largest GNN, and a gym for solving combinatorial problems ⛹️ If I forgot to mention your paper, please shoot me a message and I will update the post. Drug discovery * Predicting Potential Drug Targets Using Tensor Factorisation and Knowledge Graph Embeddings * Understanding the Performance of Knowledge Graph Embeddings in Drug Discovery with William L Hamilton Software * Dorylus: Affordable, Scalable, and Accurate GNN Training over Billion-Edge Graphs * GNNIE: GNN Inference Engine with Load-balancing and Graph-Specific Caching Combinatorics * GraphSAT -- a decision problem connecting satisfiability and graph theory * OpenGraphGym-MG: Using Reinforcement Learning to Solve Large Graph Optimization Problems on MultiGPU Systems GNNs * Residual Network and Embedding Usage: New Tricks of Node Classification with Graph Convolutional Networks Survey * Federated Graph Learning -- A Position Paper