External Resources - Architectures¶
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, TensorFlow 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
Ling Zhao, Yujiao Song, Chao Zhang, Yu Liu, Pu Wang, Tao Lin, Min Deng, Haifeng Li: T-GCN: A Temporal Graph Convolutional Network for Traffic Prediction Paper, Code
Jiawei Zhu, Yujiao Song, Ling Zhao, Haifeng Li: A3T-GCN: Attention Temporal Graph Convolutional Network for Traffic Forecasting Paper, Code
Shengnan Guo, Youfang Lin, Ning Feng, Chao Song, Huaiyu Wan: Attention Based Spatial-Temporal Graph Convolutional Networks for Traffic Flow Forecasting Paper, Code
Chuanpan Zheng, Xiaoliang Fan, Cheng Wang, Jianzhong Qi: GMAN: A Graph Multi-Attention Network for Traffic Prediction Paper, Code
Zonghan Wu, Shirui Pan, Guodong Long, Jing Jiang, Xiaojun Chang, Chengqi Zhang: Connecting the Dots: Multivariate Time Series Forecasting with Graph Neural Networks Paper, Code
Lei Bai, Lina Yao, Can Li, Xianzhi Wang, Can Wang: Adaptive Graph Convolutional Recurrent Network for Traffic Forecasting Paper, Code
George Panagopoulos, Giannis Nikolentzos, Michalis Vazirgiannis: Transfer Graph Neural Networks for Pandemic Forecasting Paper, Code
Lei Shi, Yifan Zhang, Jian Cheng, Hanqing Lu: Two-Stream Adaptive Graph Convolutional Networks for Skeleton-Based Action Recognition Paper, Code
Le Yu, Leilei Sun, Bowen Du, Chuanren Liu, Hui Xiong, Weifeng Lv: Predicting Temporal Sets with Deep Neural Networks Paper, Code
External Resources - Datasets¶
Benedek Rozemberczki, Paul Scherer, Oliver Kiss, Rik Sarkar, Tamas Ferenci: Chickenpox Cases in Hungary: a Benchmark Dataset for Spatiotemporal Signal Processing with Graph Neural Networks Paper, Dataset
Ferenc Béres, Róbert Pálovics, Anna Oláh, András A. Benczúr: Temporal Walk Based Centrality Metric for Graph Streams Paper, Dataset
Ferenc Béres, Domokos M. Kelen, Róbert Pálovics, András A. Benczúr : Node Embeddings in Dynamic Graphs Paper, Dataset