Post #325

Fresh picks from ArXiv Today at ArXiv: building graphs from pretrained language models, graph information bottleneck, and quantum entanglement ⚛️ If I forgot to mention your paper, please shoot me a message and I will update the post. Conferences - XLVIN: eXecuted Latent Value Iteration Nets NeurIPS-DeepRL 2020, with Petar Veličković - Learning to Execute Programs with Instruction Pointer Attention Graph Neural Networks NeurIPS 2020 - Graph Information Bottleneck NeurIPS 2020, with Jure Leskovec - Beta Embeddings for Multi-Hop Logical Reasoning in Knowledge Graphs NeurIPS 2020, with Jure Leskovec - Graph Geometry Interaction Learning NeurIPS 2020 - Rethinking pooling in graph neural networks NeurIPS 2020 - Heterogeneous Hypergraph Embedding for Graph Classification WSDM 2021 - Contextual Heterogeneous Graph Network for Human-Object Interaction Detection ECCV-2020 Graphs - A Differentiable Relaxation of Graph Segmentation and Alignment for AMR Parsing with Ivan Titov - Graph and graphon neural network stability with Alejandro Ribeiro - Language Models are Open Knowledge Graphs - Can entanglement hide behind triangle-free graphs? Survey - Model Extraction Attacks on Graph Neural Networks: Taxonomy and Realization