Post #307

Fresh picks from ArXiv Today at ArXiv: learning logic and simulations with GNN and a new practical guide to GNNs. If I forgot to mention your paper, please shoot me a message and I will update the post. Conferences - Lightweight, Dynamic Graph Convolutional Networks for AMR-to-Text Generation EMNLP 2020 - Learning to Represent Image and Text with Denotation Graph EMNLP 2020 - TeMP: Temporal Message Passing for Temporal Knowledge Graph Completion EMNLP 2020 with William L. Hamilton - Embedding Words in Non-Vector Space with Unsupervised Graph Learning EMNLP 2020 - Unsupervised Joint k-node Graph Representations with Compositional Energy-Based Models with Bruno Ribeiro, NeurIPS 2020 - Dirichlet Graph Variational Autoencoder NeurIPS 2020 - RatE: Relation-Adaptive Translating Embedding for Knowledge Graph Completion COLING 2020 GNN - Graph Convolutional Value Decomposition in Multi-Agent Reinforcement Learning - High-Order Relation Construction and Mining for Graph Matching - RNNLogic: Learning Logic Rules for Reasoning on Knowledge Graphs with Yoshua Bengio and Jian Tang - Learning Mesh-Based Simulation with Graph Networks with Peter W. Battaglia - Directional Graph Networks with William L. Hamilton - Simplicial Neural Networks Survey - A Practical Guide to Graph Neural Networks