Knowledge Distillation on Spatial-Temporal Graph Convolutional Network for Traffic Prediction

22 January 2024

Papers citing "Knowledge Distillation on Spatial-Temporal Graph Convolutional Network for Traffic Prediction"

11 / 11 papers shown

Title
Extract the Knowledge of Graph Neural Networks and Go Beyond it: An Effective Knowledge Distillation Framework Cheng Yang Jiawei Liu C. Shi 65 128 0 04 Mar 2021
Graph Neural Network for Traffic Forecasting: A Survey Weiwei Jiang Jiayun Luo GNN AI4TS AI4CE 208 874 0 27 Jan 2021
Distilling Knowledge from Graph Convolutional Networks Yiding Yang Jiayan Qiu Xiuming Zhang Dacheng Tao Xinchao Wang 210 231 0 23 Mar 2020
Spatial-Temporal Transformer Networks for Traffic Flow Forecasting Mingxing Xu Wenrui Dai Chunmiao Liu Xing Gao Weiyao Lin Guo-Jun Qi H. Xiong AI4TS 52 369 0 09 Jan 2020
Importance Estimation for Neural Network Pruning Pavlo Molchanov Arun Mallya Stephen Tyree I. Frosio Jan Kautz 3DPC 78 882 0 25 Jun 2019
Conditional Teacher-Student Learning Zhong Meng Jinyu Li Yong Zhao Jiawei Liu 58 90 0 28 Apr 2019
Fast Human Pose Estimation Feng Zhang Xiatian Zhu Mao Ye 3DH 63 238 0 13 Nov 2018
Paying More Attention to Attention: Improving the Performance of Convolutional Neural Networks via Attention Transfer Sergey Zagoruyko N. Komodakis 118 2,579 0 12 Dec 2016
Learning Structured Sparsity in Deep Neural Networks W. Wen Chunpeng Wu Yandan Wang Yiran Chen Hai Helen Li 178 2,337 0 12 Aug 2016
FitNets: Hints for Thin Deep Nets Adriana Romero Nicolas Ballas Samira Ebrahimi Kahou Antoine Chassang C. Gatta Yoshua Bengio FedML 305 3,887 0 19 Dec 2014
Representation Learning: A Review and New Perspectives Yoshua Bengio Aaron Courville Pascal Vincent OOD SSL 256 12,435 0 24 Jun 2012