Post #377

Fresh picks from ArXiv Today at ArXiv: random fields for graphs, deconvolutional networks, and general routing algorithms 🛣 If I forgot to mention your paper, please shoot me a message and I will update the post. Conferences Semi-Supervised Node Classification on Graphs: Markov Random Fields vs. Graph Neural Networks AAAI 2021 Co-GAT: A Co-Interactive Graph Attention Network for Joint Dialog Act Recognition and Sentiment Classification AAAI 2021 Graph and Temporal Convolutional Networks for 3D Multi-person Pose Estimation in Monocular Videos AAAI 2021 Graph-Evolving Meta-Learning for Low-Resource Medical Dialogue Generation AAAI 2021 Applications On Using Classification Datasets to Evaluate Graph Outlier Detection: Peculiar Observations and New Insights with Leman Akoglu Motif-Driven Contrastive Learning of Graph Representations Deep Multi-attribute Graph Representation Learning on Protein Structures Graph Autoencoders with Deconvolutional Networks A Generalized A* Algorithm for Finding Globally Optimal Paths in Weighted Colored Graphs Survey Knowledge Graphs Evolution and Preservation -- A Technical Report from ISWS 2019