External Resources¶
Yaguang Li, Rose Yu, Cyrus Shahabi, Yan Liu: Diffusion Convolutional Recurrent Neural Network: Data-Driven Traffic Forecasting Paper, TensorFlow Code, PyTorch Code
Youngjoo Seo, Michaël Defferrard, Xavier Bresson, Pierre Vandergheynst: Structured Sequence Modeling With Graph Convolutional Recurrent Networks Paper, Code
Jinyin Chen, Xuanheng Xu, Yangyang Wu, Haibin Zheng: GC-LSTM: Graph Convolution Embedded LSTM for Dynamic Link Prediction Paper
Jia Li, Zhichao Han, Hong Cheng, Jiao Su, Pengyun Wang, Jianfeng Zhang, Lujia Pan: Predicting Path Failure In Time-Evolving Graphs Paper, Code
Aynaz Taheri, Tanya Berger-Wolf: Predictive Temporal Embedding of Dynamic Graphs Paper
Aynaz Taheri, Kevin Gimpel, Tanya Berger-Wolf: Learning to Represent the Evolution of Dynamic Graphs with Recurrent Models Paper, Code
Aldo Pareja, Giacomo Domeniconi, Jie Chen, Tengfei Ma, Toyotaro Suzumura, Hiroki Kanezashi, Tim Kaler, Tao B. Schardl, Charles E. Leiserson: EvolveGCN: Evolving Graph Convolutional Networks for Dynamic Graphs Paper, Code
Bing Yu, Haoteng Yin, Zhanxing Zhu: Spatio-Temporal Graph Convolutional Networks: A Deep Learning Framework for Traffic Forecasting Paper, Code