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Fresh picks from ArXiv This week on ArXiv: PDE-inspired GNNs, proves to the conjectures, and a new benchmark for graph completion 🧵 If I forgot to mention your paper, please shoot me a message and I will update the post. GNNs * Distilling Holistic Knowledge with Graph Neural Networks ICCV 2021 * Fully Hyperbolic Graph Convolution Network for Recommendation CIKM 2021 * Jointly Attacking Graph Neural Network and its Explanations * LEO: Learning Energy-based Models in Graph Optimization * PDE-GCN: Novel Architectures for Graph Neural Networks Motivated by Partial Differential Equations * Shift-Robust GNNs: Overcoming the Limitations of Localized Graph Training data with Bryan Perozzi * AdaGNN: A multi-modal latent representation meta-learner for GNNs based on AdaBoosting Math * Isomorphisms between random graphs * Edge Partitions of Complete Geometric Graphs (Part 1) Survey * Are Missing Links Predictable? An Inferential Benchmark for Knowledge Graph Completion * Influence Maximization in Social Networks: A Survey of Behaviour-Aware Methods