Distilling Knowledge from Graph Convolutional Networks

23 March 2020

Papers citing "Distilling Knowledge from Graph Convolutional Networks"

50 / 127 papers shown

Title
Efficient Mixed Precision Quantization in Graph Neural Networks Samir Moustafa Nils M. Kriege Wilfried Gansterer GNN MQ 35 0 0 14 May 2025
Dual-branch Graph Feature Learning for NLOS Imaging Xiongfei Su Tianyi Zhu Lina Liu Zheng Chen Yulun Zhang Siyuan Li Juntian Ye Feihu Xu Xin Yuan 45 0 0 27 Feb 2025
GraphBridge: Towards Arbitrary Transfer Learning in GNNs Li Ju Xingyi Yang Qi Li Xinchao Wang 44 0 0 26 Feb 2025
Edge Graph Intelligence: Reciprocally Empowering Edge Networks with Graph Intelligence Liekang Zeng Shengyuan Ye Xu Chen Xiaoxi Zhang Ju Ren Jian Tang Yang Yang Xuemin Shen 57 2 0 08 Jan 2025
EasyST: A Simple Framework for Spatio-Temporal Prediction J. Tang Wei Wei Lianghao Xia Chao Huang 49 1 0 10 Sep 2024
Hierarchical Network Fusion for Multi-Modal Electron Micrograph Representation Learning with Foundational Large Language Models Sakhinana Sagar Srinivas Geethan Sannidhi Venkataramana Runkana 35 0 0 24 Aug 2024
Teach Harder, Learn Poorer: Rethinking Hard Sample Distillation for GNN-to-MLP Knowledge Distillation Lirong Wu Yunfan Liu Haitao Lin Yufei Huang Stan Z. Li 37 1 0 20 Jul 2024
LLM and GNN are Complementary: Distilling LLM for Multimodal Graph Learning Junjie Xu Zongyu Wu Min Lin Xiang Zhang Suhang Wang 30 11 0 03 Jun 2024
AdaGMLP: AdaBoosting GNN-to-MLP Knowledge Distillation Weigang Lu Ziyu Guan Wei Zhao Yaming Yang 30 3 0 23 May 2024
Acceleration Algorithms in GNNs: A Survey Lu Ma Zeang Sheng Xunkai Li Xin Gao Zhezheng Hao Ling Yang Wentao Zhang Bin Cui GNN 39 3 0 07 May 2024
Adaptive Speech Emotion Representation Learning Based On Dynamic Graph Yingxue Gao Huan Zhao Zixing Zhang 43 1 0 07 May 2024
E2GNN: Efficient Graph Neural Network Ensembles for Semi-Supervised Classification Xin Zhang Daochen Zha Qiaoyu Tan 55 0 0 06 May 2024
Attention is all you need for boosting graph convolutional neural network Yinwei Wu GNN 23 0 0 10 Mar 2024
A Teacher-Free Graph Knowledge Distillation Framework with Dual Self-Distillation Lirong Wu Haitao Lin Zhangyang Gao Guojiang Zhao Stan Z. Li 40 8 0 06 Mar 2024
Personalized Negative Reservoir for Incremental Learning in Recommender Systems Antonios Valkanas Yuening Wang Yingxue Zhang Mark J. Coates CLL 40 1 0 06 Mar 2024
Teaching MLP More Graph Information: A Three-stage Multitask Knowledge Distillation Framework Junxian Li Bin Shi Erfei Cui Hua Wei Qinghua Zheng 41 0 0 02 Mar 2024
Successive Refinement in Large-Scale Computation: Advancing Model Inference Applications H. Esfahanizadeh Alejandro Cohen S. Shamai Muriel Médard 20 1 0 11 Feb 2024
Large Language Model Meets Graph Neural Network in Knowledge Distillation Shengxiang Hu Guobing Zou Song Yang Yanglan Gan Bofeng Zhang Yixin Chen 40 7 0 08 Feb 2024
Knowledge Distillation on Spatial-Temporal Graph Convolutional Network for Traffic Prediction Mohammad Izadi M. Safayani Abdolreza Mirzaei 11 3 0 22 Jan 2024
COMBHelper: A Neural Approach to Reduce Search Space for Graph Combinatorial Problems Hao Tian Sourav Medya Wei Ye 29 4 0 14 Dec 2023
Exploring Sparsity in Graph Transformers Chuang Liu Yibing Zhan Xueqi Ma Liang Ding Dapeng Tao Jia Wu Wenbin Hu Bo Du 29 6 0 09 Dec 2023
ABKD: Graph Neural Network Compression with Attention-Based Knowledge Distillation Anshul Ahluwalia Rohit Das Payman Behnam Alind Khare Pan Li Alexey Tumanov 27 2 0 24 Oct 2023
Accelerating Scalable Graph Neural Network Inference with Node-Adaptive Propagation Xin Gao Wentao Zhang Junliang Yu Yingxiao Shao Quoc Viet Hung Nguyen Bin Cui Hongzhi Yin AI4CE GNN 24 9 0 17 Oct 2023
Data-centric Graph Learning: A Survey Jixi Liu Deyu Bo Cheng Yang Haoran Dai Qi Zhang Yixin Xiao Yufei Peng Chuan Shi GNN 27 19 0 08 Oct 2023
GraphAdapter: Tuning Vision-Language Models With Dual Knowledge Graph Xin Li Dongze Lian Zhihe Lu Jiawang Bai Zhibo Chen Xinchao Wang VLM 43 60 0 24 Sep 2023
Universal Graph Continual Learning Thanh Duc Hoang Do Viet Tung Duy-Hung Nguyen Bao-Sinh Nguyen Huy Hoang Nguyen Hung Le CLL 20 2 0 27 Aug 2023
Diffusion Model as Representation Learner Xingyi Yang Xinchao Wang DiffM 25 53 0 21 Aug 2023
Auxiliary Tasks Benefit 3D Skeleton-based Human Motion Prediction Chenxin Xu R. Tan Yuhong Tan Siheng Chen Xinchao Wang Yanfeng Wang 3DH 45 20 0 17 Aug 2023
Teacher-Student Architecture for Knowledge Distillation: A Survey Chengming Hu Xuan Li Danyang Liu Haolun Wu Xi Chen Ju Wang Xue Liu 21 16 0 08 Aug 2023
VQGraph: Rethinking Graph Representation Space for Bridging GNNs and MLPs Ling Yang Ye Tian Minkai Xu Zhongyi Liu Shenda Hong Wei Qu Wentao Zhang Bin Cui Muhan Zhang J. Leskovec 29 13 0 04 Aug 2023
Frameless Graph Knowledge Distillation Dai Shi Zhiqi Shao Yi Guo Junbin Gao 32 4 0 13 Jul 2023
Shared Growth of Graph Neural Networks via Prompted Free-direction Knowledge Distillation Kaituo Feng Yikun Miao Changsheng Li Ye Yuan Guoren Wang 26 0 0 02 Jul 2023
Accelerating Molecular Graph Neural Networks via Knowledge Distillation Filip Ekstrom Kelvinius D. Georgiev Artur P. Toshev Johannes Gasteiger 26 7 0 26 Jun 2023
A Survey on Graph Neural Network Acceleration: Algorithms, Systems, and Customized Hardware Shichang Zhang Atefeh Sohrabizadeh Cheng Wan Zijie Huang Ziniu Hu Yewen Wang Yingyan Lin Lin Jason Cong Yizhou Sun GNN AI4CE 29 22 0 24 Jun 2023
Quantifying the Knowledge in GNNs for Reliable Distillation into MLPs Lirong Wu Haitao Lin Yufei Huang Stan Z. Li 19 25 0 09 Jun 2023
LLM-Pruner: On the Structural Pruning of Large Language Models Xinyin Ma Gongfan Fang Xinchao Wang 25 364 0 19 May 2023
Deep Graph Reprogramming Yongcheng Jing Chongbin Yuan Li Ju Yiding Yang Xinchao Wang Dacheng Tao 79 35 0 28 Apr 2023
Segment Anything in Non-Euclidean Domains: Challenges and Opportunities Yongcheng Jing Xinchao Wang Dacheng Tao 32 21 0 23 Apr 2023
Train Your Own GNN Teacher: Graph-Aware Distillation on Textual Graphs Costas Mavromatis V. Ioannidis Shen Wang Da Zheng Soji Adeshina Jun Ma Han Zhao Christos Faloutsos George Karypis 15 29 0 20 Apr 2023
Knowledge-Distilled Graph Neural Networks for Personalized Epileptic Seizure Detection Qinyue Zheng Arun Venkitaraman Simona Petravic P. Frossard FedML 18 1 0 03 Apr 2023
CNNs with Multi-Level Attention for Domain Generalization Aristotelis Ballas Christos Diou OOD 14 6 0 02 Apr 2023
EqMotion: Equivariant Multi-agent Motion Prediction with Invariant Interaction Reasoning Chenxin Xu R. Tan Yuhong Tan Siheng Chen Yu Wang Xinchao Wang Yanfeng Wang 30 96 0 20 Mar 2023
Partial Network Cloning Jingwen Ye Songhua Liu Xinchao Wang CLL 22 14 0 19 Mar 2023
Distill n' Explain: explaining graph neural networks using simple surrogates Tamara A. Pereira Erik Nasciment Lucas Resck Diego Mesquita Amauri Souza 24 15 0 17 Mar 2023
Schema Inference for Interpretable Image Classification Haofei Zhang Mengqi Xue Xiaokang Liu Kaixuan Chen Jie Song Mingli Song OCL 39 3 0 12 Mar 2023
Diffusing Graph Attention Daniel Glickman Eran Yahav GNN 40 3 0 01 Mar 2023
Graph-based Knowledge Distillation: A survey and experimental evaluation Jing Liu Tongya Zheng Guanzheng Zhang Qinfen Hao 29 8 0 27 Feb 2023
Joint Edge-Model Sparse Learning is Provably Efficient for Graph Neural Networks Shuai Zhang M. Wang Pin-Yu Chen Sijia Liu Songtao Lu Miaoyuan Liu MLT 19 16 0 06 Feb 2023
Knowledge Distillation on Graphs: A Survey Yijun Tian Shichao Pei Xiangliang Zhang Chuxu Zhang Nitesh V. Chawla 15 28 0 01 Feb 2023
DepGraph: Towards Any Structural Pruning Gongfan Fang Xinyin Ma Mingli Song Michael Bi Mi Xinchao Wang GNN 89 256 0 30 Jan 2023