Uncertainty for Active Learning on Graphs

Uncertainty for Active Learning on Graphs

2 May 2024

Dominik Fuchsgruber

Tom Wollschlager

Bertrand Charpentier

Stephan Günnemann

Papers citing "Uncertainty for Active Learning on Graphs"

10 / 10 papers shown

Title
Shapley-Guided Utility Learning for Effective Graph Inference Data Valuation Hongliang Chi Qiong Wu Zhengyi Zhou Yao Ma TDI AAML 68 0 0 23 Mar 2025
Efficient Data Selection for Training Genomic Perturbation Models G. Panagopoulos J. Lutzeyer Sofiane Ennadir Michalis Vazirgiannis Jun Pang 66 0 0 18 Mar 2025
Joint Out-of-Distribution Filtering and Data Discovery Active Learning Sebastian Schmidt Leonard Schenk Leo Schwinn Stephan Günnemann 63 1 0 04 Mar 2025
Federated Learning with Sample-level Client Drift Mitigation Haoran Xu Jiaze Li Wanyi Wu Hao Ren FedML 36 0 0 20 Jan 2025
Trajectory Improvement and Reward Learning from Comparative Language Feedback Zhaojing Yang Miru Jun J. Tien Stuart J. Russell Anca Dragan Erdem Bıyık 29 5 0 08 Oct 2024
DELTA: Dual Consistency Delving with Topological Uncertainty for Active Graph Domain Adaptation Pengyun Wang Yadi Cao Chris Russell Siyu Heng Junyu Luo Yanxin Shen Xiao Luo 38 1 0 13 Sep 2024
Active Learning for Graph Neural Networks via Node Feature Propagation Yuexin Wu Yichong Xu Aarti Singh Yiming Yang A. Dubrawski GNN AI4CE 46 63 0 16 Oct 2019
Contextual Stochastic Block Models Y. Deshpande Andrea Montanari Elchanan Mossel S. Sen 98 151 0 23 Jul 2018
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 268 5,635 0 05 Dec 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 247 9,042 0 06 Jun 2015