Distilling Knowledge from Graph Convolutional Networks

23 March 2020

Papers citing "Distilling Knowledge from Graph Convolutional Networks"

27 / 127 papers shown

Title
Augmented Shortcuts for Vision Transformers Yehui Tang Kai Han Chang Xu An Xiao Yiping Deng Chao Xu Yunhe Wang ViT 12 39 0 30 Jun 2021
Learning Dynamics via Graph Neural Networks for Human Pose Estimation and Tracking Yiding Yang Zhou Ren Haoxiang Li Chunluan Zhou Xinchao Wang G. Hua 3DH 17 66 0 07 Jun 2021
Dynamic Resolution Network Mingjian Zhu Kai Han Enhua Wu Qiulin Zhang Ying Nie Zhenzhong Lan Yunhe Wang OOD 27 49 0 05 Jun 2021
How Attentive are Graph Attention Networks? Shaked Brody Uri Alon Eran Yahav GNN 25 1,013 0 30 May 2021
Federated Graph Learning -- A Position Paper Hu Zhang T. Shen Fei Wu Mingyang Yin Hongxia Yang Chao Wu FedML 6 49 0 24 May 2021
Contrastive Model Inversion for Data-Free Knowledge Distillation Gongfan Fang Jie Song Xinchao Wang Chen Shen Xingen Wang Mingli Song 20 79 0 18 May 2021
Graph-Free Knowledge Distillation for Graph Neural Networks Xiang Deng Zhongfei Zhang 34 65 0 16 May 2021
KDExplainer: A Task-oriented Attention Model for Explaining Knowledge Distillation Mengqi Xue Jie Song Xinchao Wang Ying Chen Xingen Wang Mingli Song 13 10 0 10 May 2021
Learning with Group Noise Qizhou Wang Jiangchao Yao Chen Gong Tongliang Liu Mingming Gong Hongxia Yang Bo Han 9 10 0 17 Mar 2021
Learning Frequency-aware Dynamic Network for Efficient Super-Resolution Wenbin Xie Dehua Song Chang Xu Chunjing Xu Hui Zhang Yunhe Wang SupR 18 67 0 15 Mar 2021
Sampling methods for efficient training of graph convolutional networks: A survey Xin Liu Mingyu Yan Lei Deng Guoqi Li Xiaochun Ye Dongrui Fan GNN 23 100 0 10 Mar 2021
Extract the Knowledge of Graph Neural Networks and Go Beyond it: An Effective Knowledge Distillation Framework Cheng Yang Jiawei Liu C. Shi 22 123 0 04 Mar 2021
Training Generative Adversarial Networks in One Stage Chengchao Shen Youtan Yin Xinchao Wang Xubin Li Jie Song Mingli Song GAN 20 14 0 28 Feb 2021
SPAGAN: Shortest Path Graph Attention Network Yiding Yang Xinchao Wang Mingli Song Junsong Yuan Dacheng Tao GNN 138 96 0 10 Jan 2021
Binary Graph Neural Networks Mehdi Bahri Gaétan Bahl S. Zafeiriou GNN AI4CE 11 49 0 31 Dec 2020
Towards a category-extended object detector with limited data Bowen Zhao Chen Chen Xi Xiao Shutao Xia ObjD 27 2 0 28 Dec 2020
Overcoming Catastrophic Forgetting in Graph Neural Networks Huihui Liu Yiding Yang Xinchao Wang 161 112 0 10 Dec 2020
Progressive Network Grafting for Few-Shot Knowledge Distillation Chengchao Shen Xinchao Wang Youtan Yin Jie Song Sihui Luo Mingli Song 6 46 0 09 Dec 2020
SnapMix: Semantically Proportional Mixing for Augmenting Fine-grained Data Shaoli Huang Xinchao Wang Dacheng Tao 11 115 0 09 Dec 2020
On Self-Distilling Graph Neural Network Y. Chen Yatao Bian Xi Xiao Yu Rong Tingyang Xu Junzhou Huang FedML 19 48 0 04 Nov 2020
Learning Propagation Rules for Attribution Map Generation Yiding Yang Jiayan Qiu Mingli Song Dacheng Tao Xinchao Wang FAtt 30 17 0 14 Oct 2020
Factorizable Graph Convolutional Networks Yiding Yang Zunlei Feng Mingli Song Xinchao Wang GNN 12 145 0 12 Oct 2020
Searching for Low-Bit Weights in Quantized Neural Networks Zhaohui Yang Yunhe Wang Kai Han Chunjing Xu Chao Xu Dacheng Tao Chang Xu MQ 19 82 0 18 Sep 2020
GraphSAIL: Graph Structure Aware Incremental Learning for Recommender Systems Yishi Xu Yingxue Zhang Wei Guo Huifeng Guo Ruiming Tang Mark J. Coates CLL 9 79 0 25 Aug 2020
Tracking-by-Counting: Using Network Flows on Crowd Density Maps for Tracking Multiple Targets Weihong Ren Xinchao Wang Jiandong Tian Yandong Tang Antoni B. Chan VOT 22 67 0 18 Jul 2020
Knowledge Distillation: A Survey Jianping Gou B. Yu Stephen J. Maybank Dacheng Tao VLM 19 2,837 0 09 Jun 2020
Geometric deep learning on graphs and manifolds using mixture model CNNs Federico Monti Davide Boscaini Jonathan Masci Emanuele Rodolà Jan Svoboda M. Bronstein GNN 251 1,811 0 25 Nov 2016