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