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