Post #538

Fresh picks from ArXiv This week on ArXiv: 1000-layer GNN, solutions to OGB challenge, and theory behind GNN explanations 🤔 If I forgot to mention your paper, please shoot me a message and I will update the post. Deep GNNs * Training Graph Neural Networks with 1000 Layers ICML 2021 * Very Deep Graph Neural Networks Via Noise Regularisation with Petar Veličković, Peter Battaglia Heterophily * Improving Robustness of Graph Neural Networks with Heterophily-Inspired Designs with Danai Koutra Knowledge graphs * Query Embedding on Hyper-relational Knowledge Graphs with Mikhail Galkin OGB-challenge * Fast Quantum Property Prediction via Deeper 2D and 3D Graph Networks * First Place Solution of KDD Cup 2021 & OGB Large-Scale Challenge Graph Prediction Track Theory * Towards a Rigorous Theoretical Analysis and Evaluation of GNN Explanations with Marinka Zitnik * A unifying point of view on expressive power of GNNs GNNs * Stability of Graph Convolutional Neural Networks to Stochastic Perturbations with Alejandro Ribeiro * TD-GEN: Graph Generation With Tree Decomposition * Unsupervised Resource Allocation with Graph Neural Networks * Equivariance-bridged SO(2)-Invariant Representation Learning using Graph Convolutional Network * GemNet: Universal Directional Graph Neural Networks for Molecules with Stephan Günnemann * Optimizing Graph Transformer Networks with Graph-based Techniques Survey * Systematic comparison of graph embedding methods in practical tasks * Evaluating Modules in Graph Contrastive Learning * A Survey on Mining and Analysis of Uncertain Graphs