Better with Less: A Data-Active Perspective on Pre-Training Graph Neural
Networks

Better with Less: A Data-Active Perspective on Pre-Training Graph Neural Networks

2 November 2023

Papers citing "Better with Less: A Data-Active Perspective on Pre-Training Graph Neural Networks"

14 / 14 papers shown

Title
A Survey of Cross-domain Graph Learning: Progress and Future Directions Haihong Zhao Chenyi Zi Aochuan Chen Jia Li 67 0 0 14 Mar 2025
One Model for One Graph: A New Perspective for Pretraining with Cross-domain Graphs J. Liu Haitao Mao Zhikai Chen Wenqi Fan Mingxuan Ju Tong Zhao Neil Shah Jiliang Tang AI4CE 56 0 0 30 Nov 2024
Beyond Efficiency: Molecular Data Pruning for Enhanced Generalization Dingshuo Chen Zhixun Li Yuyan Ni Guibin Zhang Ding Wang Qiang Liu Shu Wu Jeffrey Xu Yu Liang Wang 44 2 0 02 Sep 2024
A Pure Transformer Pretraining Framework on Text-attributed Graphs Yu Song Haitao Mao Jiachen Xiao Jingzhe Liu Zhikai Chen Wei Jin Carl Yang Jiliang Tang Hui Liu AI4CE 40 4 0 19 Jun 2024
Text-space Graph Foundation Models: Comprehensive Benchmarks and New Insights Zhikai Chen Haitao Mao Jingzhe Liu Yu Song Bingheng Li ... Bahare Fatemi Anton Tsitsulin Bryan Perozzi Hui Liu Jiliang Tang 25 10 0 15 Jun 2024
Cross-Domain Graph Data Scaling: A Showcase with Diffusion Models Wenzhuo Tang Haitao Mao Danial Dervovic Ivan Brugere Saumitra Mishra Yuying Xie Jiliang Tang 48 3 0 04 Jun 2024
Critical Learning Periods: Leveraging Early Training Dynamics for Efficient Data Pruning E. Chimoto Jay Gala Orevaoghene Ahia Julia Kreutzer Bruce A. Bassett Sara Hooker VLM 34 4 0 29 May 2024
Transfer Learning Under High-Dimensional Graph Convolutional Regression Model for Node Classification Jiachen Chen Danyang Huang Liyuan Wang Kathryn L. Lunetta Debarghya Mukherjee Huimin Cheng 25 0 0 26 May 2024
A Survey on Graph Condensation Hongjia Xu Liangliang Zhang Yao Ma Sheng Zhou Zhuonan Zheng Jiajun Bu 53 10 0 03 Feb 2024
Augmentation-Free Self-Supervised Learning on Graphs Namkyeong Lee Junseok Lee Chanyoung Park 60 203 0 05 Dec 2021
Geom-GCN: Geometric Graph Convolutional Networks Hongbin Pei Bingzhen Wei Kevin Chen-Chuan Chang Yu Lei Bo Yang GNN 169 1,072 0 13 Feb 2020
Scaling Laws for Neural Language Models Jared Kaplan Sam McCandlish T. Henighan Tom B. Brown B. Chess R. Child Scott Gray Alec Radford Jeff Wu Dario Amodei 226 4,424 0 23 Jan 2020
MoleculeNet: A Benchmark for Molecular Machine Learning Zhenqin Wu Bharath Ramsundar Evan N. Feinberg Joseph Gomes C. Geniesse Aneesh S. Pappu K. Leswing Vijay S. Pande OOD 159 1,766 0 02 Mar 2017
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 247 9,109 0 06 Jun 2015