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Fresh picks from ArXiv This week on ArXiv: knowledge distillation, robustness benchmark, and SVD instead of learning ✒️ If I forgot to mention your paper, please shoot me a message and I will update the post. GNNs * On Representation Knowledge Distillation for Graph Neural Networks * Can Graph Neural Networks Learn to Solve MaxSAT Problem? * DropGNN: Random Dropouts Increase the Expressiveness of Graph Neural Networks NeurIPS 2021 * An Interpretable Graph Generative Model with Heterophily * Convolutional Neural Network Dynamics: A Graph Perspective with Danai Koutra Benchmarks * Graph Robustness Benchmark: Benchmarking the Adversarial Robustness of Graph Machine Learning GRL * Implicit SVD for Graph Representation Learning NeurIPS 2021 * Multi-task Learning of Order-Consistent Causal Graphs with Le Song * Adversarial Attacks on Graph Classification via Bayesian Optimisation * Conditional Attention Networks for Distilling Knowledge Graphs in Recommendation CIKM 2021