Investigating Transfer Learning in Graph Neural Networks

Investigating Transfer Learning in Graph Neural Networks

1 February 2022

Nishai Kooverjee

Steven D. James

Terence L van Zyl

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Papers citing "Investigating Transfer Learning in Graph Neural Networks"

16 / 16 papers shown

Title
A fast accurate fine-grain object detection model based on YOLOv4 deep neural network Anisha Roy Rikhi Bose Jayabrata Bhaduri 78 223 0 30 Oct 2021
Open Graph Benchmark: Datasets for Machine Learning on Graphs Weihua Hu Matthias Fey Marinka Zitnik Yuxiao Dong Hongyu Ren Bowen Liu Michele Catasta J. Leskovec 311 2,754 0 02 May 2020
Benchmarking Graph Neural Networks Vijay Prakash Dwivedi Chaitanya K. Joshi Anh Tuan Luu T. Laurent Yoshua Bengio Xavier Bresson 560 953 0 02 Mar 2020
A Fair Comparison of Graph Neural Networks for Graph Classification Federico Errica Marco Podda D. Bacciu Alessio Micheli FaML 149 449 0 20 Dec 2019
Strategies for Pre-training Graph Neural Networks Weihua Hu Bowen Liu Joseph Gomes Marinka Zitnik Percy Liang Vijay S. Pande J. Leskovec SSL AI4CE 126 1,416 0 29 May 2019
Fast Graph Representation Learning with PyTorch Geometric Matthias Fey J. E. Lenssen 3DH GNN 3DPC 256 4,371 0 06 Mar 2019
Using Pre-Training Can Improve Model Robustness and Uncertainty Dan Hendrycks Kimin Lee Mantas Mazeika NoLa 89 727 0 28 Jan 2019
A Comprehensive Survey on Graph Neural Networks Zonghan Wu Shirui Pan Fengwen Chen Guodong Long Chengqi Zhang Philip S. Yu FaML GNN AI4TS AI4CE 816 8,597 0 03 Jan 2019
How Powerful are Graph Neural Networks? Keyulu Xu Weihua Hu J. Leskovec Stefanie Jegelka GNN 266 7,710 0 01 Oct 2018
Deep Graph Infomax Petar Velickovic W. Fedus William L. Hamilton Pietro Lio Yoshua Bengio R. Devon Hjelm GNN 132 2,401 0 27 Sep 2018
Relational inductive biases, deep learning, and graph networks Peter W. Battaglia Jessica B. Hamrick V. Bapst Alvaro Sanchez-Gonzalez V. Zambaldi ... Pushmeet Kohli M. Botvinick Oriol Vinyals Yujia Li Razvan Pascanu AI4CE NAI 773 3,132 0 04 Jun 2018
Do Better ImageNet Models Transfer Better? Simon Kornblith Jonathon Shlens Quoc V. Le OOD MLT 170 1,332 0 23 May 2018
Inductive Representation Learning on Large Graphs William L. Hamilton Z. Ying J. Leskovec 523 15,369 0 07 Jun 2017
Neural Message Passing for Quantum Chemistry Justin Gilmer S. Schoenholz Patrick F. Riley Oriol Vinyals George E. Dahl 600 7,500 0 04 Apr 2017
Geometric deep learning: going beyond Euclidean data M. Bronstein Joan Bruna Yann LeCun Arthur Szlam P. Vandergheynst GNN 821 3,302 0 24 Nov 2016
How transferable are features in deep neural networks? J. Yosinski Jeff Clune Yoshua Bengio Hod Lipson OOD 238 8,363 0 06 Nov 2014