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A comprehensive collection of recent papers on graph deep learning

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One of the authors on our paper "N-Gram Graph: Simple Unsupervised Representation for Graphs, with Applications to Molecules" was incorrect, which I fixed.

Thanks for the great collection!! We would like to bring to your attention our ICLR 2020 paper "GraphSAINT: Graph Sampling Based Inductive Learning Method". We propose a new minibatch training...

Adding our paper accepted in WWW2020 [Research track proceedings of our paper](https://www2020.citi.sinica.edu.tw/schedule/research_track/#Session-Social-Network-B-2) [Arxiv paper link](https://arxiv.org/abs/2001.08184)

graph convolution or graph neural networks have lots of application in spatiotemporal mining, especially in transportation analytics.