Post #371

Fresh picks from ArXiv Today at ArXiv: application of GNNs to drug discovery, graph construction by Wallmart, and improving expressiveness via more injective functions 😎 If I forgot to mention your paper, please shoot me a message and I will update the post. GNN - Breaking the Expressive Bottlenecks of Graph Neural Networks - Building Graphs at a Large Scale: Union Find Shuffle - Utilising Graph Machine Learning within Drug Discovery and Development with Michael Bronstein - Molecular graph generation with Graph Neural Networks Conferences - GDPNet: Refining Latent Multi-View Graph for Relation Extraction AAAI 2021 - Self-Supervised Hypergraph Convolutional Networks for Session-based Recommendation AAAI 2021 - Spatiotemporal Graph Neural Network based Mask Reconstruction for Video Object Segmentation AAAI 2021 - Infusing Multi-Source Knowledge with Heterogeneous Graph Neural Network for Emotional Conversation Generation AAAI 2021 - Context-Aware Graph Convolution Network for Target Re-identification AAAI 2021 - Overcoming Catastrophic Forgetting in Graph Neural Networks AAAI 2021 - Bipartite Graph Embedding via Mutual Information Maximization WSDM 2021 - A Meta-Learning Approach for Graph Representation Learning in Multi-Task Settings Workshop NeurIPS 2021 - Comparison of Atom Representations in Graph Neural Networks for Molecular Property Prediction Workshop NeurIPS 2020 Survey - Deep Analysis on Subgraph Isomorphism - The Future is Big Graphs! A Community View on Graph Processing Systems - A Note on Spectral Graph Neural Network