Post #349

Fresh picks from ArXiv Today at ArXiv smoothing for link prediction, design space of GNNs, and scalable networks for heterogeneous graphs ⛰ If I forgot to mention your paper, please shoot me a message and I will update the post. Conferences - Node Similarity Preserving Graph Convolutional Networks WSDM 2021 - Design Space for Graph Neural Networks with Jure Leskovec, NeurIPS 2020 Graphs - VLG-Net: Video-Language Graph Matching Network for Video Grounding - Scalable Graph Neural Networks for Heterogeneous Graphs - Graph embeddings via matrix factorization for link prediction: smoothing or truncating negatives? - Reinforcement Learning of Graph Neural Networks for Service Function Chaining - Quantum algorithms for learning graphs and beyond Survey - Survey and Open Problems in Privacy Preserving Knowledge Graph: Merging, Query, Representation, Completion and Applications - Subpath Queries on Compressed Graphs: a Survey