Fresh picks from ArXiv
This week on ArXiv: feature propagation to alleviate missing node features, new sota for molecular prediction, and benchmarks on GNN explanations 👴
If I forgot to mention your paper, please shoot me a message and I will update the post.

GNNs
* Multi-fidelity Stability for Graph Representation Learning with Joan Bruna
* AutoHEnsGNN: Winning Solution to AutoGraph Challenge for KDD Cup 2020
* Demystifying Graph Neural Network Explanations
* Unsupervised Learning for Identifying High Eigenvector Centrality Nodes: A Graph Neural Network Approach
* On the Unreasonable Effectiveness of Feature propagation in Learning on Graphs with Missing Node Features with Michael Bronstein
* Directional Message Passing on Molecular Graphs via Synthetic Coordinates with Stephan Günnemann