Fresh picks from ArXiv
This week on ArXiv: belief propagation guarantees, scaling molecular GNNs, and debunking multi-label graph embeddings 🧙‍
If I forgot to mention your paper, please shoot me a message and I will update the post.

GNN
* A Comparative Study on Robust Graph Neural Networks to Structural Noises
* Convergence of Generalized Belief Propagation Algorithm on Graphs with Motifs
* LUNAR: Unifying Local Outlier Detection Methods via Graph Neural Networks AAAI 2022
* A Self-supervised Mixed-curvature Graph Neural Network AAAI 2022
* Robustification of Online Graph Exploration Methods AAAI 2022
* Neural Belief Propagation for Scene Graph Generation
* Adaptive Kernel Graph Neural Network AAAI 2022
* On the Use of Unrealistic Predictions in Hundreds of Papers Evaluating Graph Representations AAAI 2022
* Scalable Geometric Deep Learning on Molecular Graphs
* OOD-GNN: Out-of-Distribution Generalized Graph Neural Network