Distilling Knowledge from Graph Convolutional Networks

23 March 2020

Papers citing "Distilling Knowledge from Graph Convolutional Networks"

50 / 127 papers shown

Title
Diffusion Probabilistic Model Made Slim Xingyi Yang Daquan Zhou Jiashi Feng Xinchao Wang DiffM 27 101 0 27 Nov 2022
Efficient Graph Neural Network Inference at Large Scale Xin-pu Gao Wentao Zhang Yingxia Shao Quoc Viet Hung Nguyen Bin Cui Hongzhi Yin AI4CE GNN 41 9 0 01 Nov 2022
Dataset Distillation via Factorization Songhua Liu Kai Wang Xingyi Yang Jingwen Ye Xinchao Wang DD 124 141 0 30 Oct 2022
Online Cross-Layer Knowledge Distillation on Graph Neural Networks with Deep Supervision Jiongyu Guo Defang Chen Can Wang 14 3 0 25 Oct 2022
Deep Model Reassembly Xingyi Yang Zhou Daquan Songhua Liu Jingwen Ye Xinchao Wang MoMe 20 120 0 24 Oct 2022
Geometric Knowledge Distillation: Topology Compression for Graph Neural Networks Chenxiao Yang Qitian Wu Junchi Yan 16 26 0 24 Oct 2022
SA-MLP: Distilling Graph Knowledge from GNNs into Structure-Aware MLP Jie Chen Shouzhen Chen Mingyuan Bai Junbin Gao Junping Zhang Jian Pu 34 10 0 18 Oct 2022
Scaling & Shifting Your Features: A New Baseline for Efficient Model Tuning Dongze Lian Daquan Zhou Jiashi Feng Xinchao Wang 34 247 0 17 Oct 2022
Boosting Graph Neural Networks via Adaptive Knowledge Distillation Zhichun Guo Chunhui Zhang Yujie Fan Yijun Tian Chuxu Zhang Nitesh V. Chawla 21 32 0 12 Oct 2022
Linkless Link Prediction via Relational Distillation Zhichun Guo William Shiao Shichang Zhang Yozen Liu Nitesh V. Chawla Neil Shah Tong Zhao 21 41 0 11 Oct 2022
Attention Diversification for Domain Generalization Rang Meng Xianfeng Li Weijie Chen Shicai Yang Jie Song Xinchao Wang Lei Zhang Mingli Song Di Xie Shiliang Pu 23 39 0 09 Oct 2022
Bottleneck Analysis of Dynamic Graph Neural Network Inference on CPU and GPU Han-Chen Chen Yahya Alhinai Yihan Jiang Eunjee Na Cong Hao GNN AI4CE 19 5 0 08 Oct 2022
Teaching Yourself: Graph Self-Distillation on Neighborhood for Node Classification Lirong Wu Jun-Xiong Xia Haitao Lin Zhangyang Gao Zicheng Liu Guojiang Zhao Stan Z. Li 61 6 0 05 Oct 2022
NOSMOG: Learning Noise-robust and Structure-aware MLPs on Graphs Yijun Tian Chuxu Zhang Zhichun Guo Xiangliang Zhang Nitesh V. Chawla 41 14 0 22 Aug 2022
DSLA: Dynamic smooth label assignment for efficient anchor-free object detection Hu Su Yonghao He Rui Jiang Jiabin Zhang W. Zou Bin Fan 16 23 0 01 Aug 2022
HIRE: Distilling High-order Relational Knowledge From Heterogeneous Graph Neural Networks Jing Liu Tongya Zheng Qinfen Hao 24 7 0 25 Jul 2022
Hierarchical Semi-Supervised Contrastive Learning for Contamination-Resistant Anomaly Detection Gaoang Wang Yibing Zhan Xinchao Wang Min-Gyoo Song K. Nahrstedt 24 11 0 24 Jul 2022
Learning Graph Neural Networks for Image Style Transfer Yongcheng Jing Yining Mao Yiding Yang Yibing Zhan Mingli Song Xinchao Wang Dacheng Tao 30 55 0 24 Jul 2022
Comprehensive Graph Gradual Pruning for Sparse Training in Graph Neural Networks Chuang Liu Xueqi Ma Yinbing Zhan Liang Ding Dapeng Tao Bo Du Wenbin Hu Danilo P. Mandic 32 28 0 18 Jul 2022
Learning with Recoverable Forgetting Jingwen Ye Yifang Fu Jie Song Xingyi Yang Songhua Liu Xin Jin Mingli Song Xinchao Wang CLL KELM 22 40 0 17 Jul 2022
DynaST: Dynamic Sparse Transformer for Exemplar-Guided Image Generation Songhua Liu Jingwen Ye Sucheng Ren Xinchao Wang 19 44 0 13 Jul 2022
3DG-STFM: 3D Geometric Guided Student-Teacher Feature Matching Runyu Mao Chen Bai Yatong An F. Zhu Cheng Lu 3DV 3DH 19 18 0 06 Jul 2022
Factorizing Knowledge in Neural Networks Xingyi Yang Jingwen Ye Xinchao Wang MoMe 36 121 0 04 Jul 2022
Slimmable Domain Adaptation Rang Meng Weijie Chen Shicai Yang Jie Song Luojun Lin Di Xie Shiliang Pu Xinchao Wang Mingli Song Yueting Zhuang 26 12 0 14 Jun 2022
FreeKD: Free-direction Knowledge Distillation for Graph Neural Networks Kaituo Feng Changsheng Li Ye Yuan Guoren Wang 25 32 0 14 Jun 2022
Learning Domain Adaptive Object Detection with Probabilistic Teacher Meilin Chen Weijie Chen Shicai Yang Jie Song Xinchao Wang ... Yunfeng Yan Donglian Qi Yueting Zhuang Di Xie Shiliang Pu 43 74 0 13 Jun 2022
Model Degradation Hinders Deep Graph Neural Networks Wentao Zhang Zeang Sheng Ziqi Yin Yuezihan Jiang Yikuan Xia Jun Gao Zhi-Xin Yang Bin Cui GNN AI4CE 21 39 0 09 Jun 2022
Vision GNN: An Image is Worth Graph of Nodes Kai Han Yunhe Wang Jianyuan Guo Yehui Tang Enhua Wu GNN 3DH 13 351 0 01 Jun 2022
Spectral Maps for Learning on Subgraphs Marco Pegoraro R. Marin Arianna Rampini Simone Melzi Luca Cosmo Emanuele Rodolà 14 2 0 30 May 2022
MUG: Multi-human Graph Network for 3D Mesh Reconstruction from 2D Pose Chenyan Wu Yandong Li Xianfeng Tang James Z. Wang 3DH 24 3 0 25 May 2022
Compressing Deep Graph Neural Networks via Adversarial Knowledge Distillation Huarui He Jie Wang Zhanqiu Zhang Feng Wu 25 40 0 24 May 2022
Trustworthy Graph Neural Networks: Aspects, Methods and Trends He Zhang Bang Wu Xingliang Yuan Shirui Pan Hanghang Tong Jian Pei 45 104 0 16 May 2022
Alignahead: Online Cross-Layer Knowledge Extraction on Graph Neural Networks Jiongyu Guo Defang Chen Can Wang FedML 13 4 0 05 May 2022
Modeling Motion with Multi-Modal Features for Text-Based Video Segmentation Wangbo Zhao Kai Wang Xiangxiang Chu Fuzhao Xue Xinchao Wang Yang You 29 21 0 06 Apr 2022
PoseTriplet: Co-evolving 3D Human Pose Estimation, Imitation, and Hallucination under Self-supervision Kehong Gong Bingbing Li Jianfeng Zhang Tao Wang Jing Huang Michael Bi Mi Jiashi Feng Xinchao Wang SSL 19 43 0 29 Mar 2022
Point2Seq: Detecting 3D Objects as Sequences Yujing Xue Jiageng Mao Minzhe Niu Hang Xu Michael Bi Mi Wei Zhang Xiaogang Wang Xinchao Wang 3DPC 36 15 0 25 Mar 2022
Survey on Graph Neural Network Acceleration: An Algorithmic Perspective Xin Liu Mingyu Yan Lei Deng Guoqi Li Xiaochun Ye Dongrui Fan Shirui Pan Yuan Xie GNN 8 41 0 10 Feb 2022
Data Efficient Language-supervised Zero-shot Recognition with Optimal Transport Distillation Bichen Wu Rui Cheng Peizhao Zhang Tianren Gao Peter Vajda Joseph E. Gonzalez VLM 11 45 0 17 Dec 2021
$Up to 100$\times$ Faster Data-free Knowledge Distillation$ Up to 100 $\times$ Faster Data-free Knowledge Distillation Gongfan Fang Kanya Mo Xinchao Wang Jie Song Shitao Bei Haofei Zhang Mingli Song DD 28 4 0 12 Dec 2021
TCGL: Temporal Contrastive Graph for Self-supervised Video Representation Learning Yang Liu Keze Wang Lingbo Liu Hao Lan Liang Lin SSL AI4TS 48 113 0 07 Dec 2021
Safe Distillation Box Jingwen Ye Yining Mao Jie Song Xinchao Wang Cheng Jin Mingli Song AAML 19 13 0 05 Dec 2021
On Representation Knowledge Distillation for Graph Neural Networks Chaitanya K. Joshi Fayao Liu Xu Xun Jie Lin Chuan-Sheng Foo 24 54 0 09 Nov 2021
Mosaicking to Distill: Knowledge Distillation from Out-of-Domain Data Gongfan Fang Yifan Bao Jie Song Xinchao Wang Don Xie Chengchao Shen Mingli Song 35 44 0 27 Oct 2021
Light-Field Microscopy for optical imaging of neuronal activity: when model-based methods meet data-driven approaches P. Song Herman Verinaz-Jadan Carmel L. Howe Amanda J. Foust P. Dragotti AI4CE 6 7 0 24 Oct 2021
Graph-less Neural Networks: Teaching Old MLPs New Tricks via Distillation Shichang Zhang Yozen Liu Yizhou Sun Neil Shah 33 173 0 17 Oct 2021
Scalable Consistency Training for Graph Neural Networks via Self-Ensemble Self-Distillation Cole Hawkins V. Ioannidis Soji Adeshina George Karypis GNN SSL 24 2 0 12 Oct 2021
Prune Your Model Before Distill It Jinhyuk Park Albert No VLM 38 27 0 30 Sep 2021
Meta-Aggregator: Learning to Aggregate for 1-bit Graph Neural Networks Yongcheng Jing Yiding Yang Xinchao Wang Mingli Song Dacheng Tao 16 38 0 27 Sep 2021
Boundary Knowledge Translation based Reference Semantic Segmentation Lechao Cheng Zunlei Feng Xinchao Wang Ya Jie Liu Jie Lei Mingli Song 8 5 0 01 Aug 2021
Visual Boundary Knowledge Translation for Foreground Segmentation Zunlei Feng Lechao Cheng Xinchao Wang Xiang Wang Ya Jie Liu Xiangtong Du Mingli Song 20 7 0 01 Aug 2021