Post #338

Fresh picks from ArXiv Today at ArXiv three interesting surveys: overview of graph kernel literature from the last 15 years, GNNs for recommendations, and digest of Babai and Luks algorithms for graph isomorphism problem. If I forgot to mention your paper, please shoot me a message and I will update the post. Graphs - Single-Node Attack for Fooling Graph Neural Networks - Learning with Molecules beyond Graph Neural Networks Workshop NeurIPS 2020 - Massively Parallel Graph Drawing and Representation Learning BigData 2020 - Deoscillated Graph Collaborative Filtering with Philip S. Yu - On Self-Distilling Graph Neural Network - Finding Friends and Flipping Frenemies: Automatic Paraphrase Dataset Augmentation Using Graph Theory EMNLP 2020 Survey - Graph Kernels: State-of-the-Art and Future Challenges with Karsten Borgwardt - Graph Neural Networks in Recommender Systems: A Survey - Recent Advances on the Graph Isomorphism Problem