Active Learning for Graph Embedding

15 May 2017

Hongyun Cai

V. Zheng

Kevin Chen-Chuan Chang

GNN

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Papers citing "Active Learning for Graph Embedding"

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Title
Few-Shot Graph Out-of-Distribution Detection with LLMs Haoyan Xu Zhengtao Yao Yushun Dong Ziyi Wang Ryan Rossi Mengyuan Li Yue Zhao OODD 74 2 0 28 Mar 2025
Shapley-Guided Utility Learning for Effective Graph Inference Data Valuation Hongliang Chi Qiong Wu Zhengyi Zhou Yao Ma TDI AAML 78 0 0 23 Mar 2025
ATOM: A Framework of Detecting Query-Based Model Extraction Attacks for Graph Neural Networks Zhan Cheng Bo Shen Tianming Sha Yuan Gao Shibo Li Yushun Dong 49 0 0 20 Mar 2025
UPL: Uncertainty-aware Pseudo-labeling for Imbalance Transductive Node Classification Mohammad T. Teimuri Zahra Dehghanian Gholamali Aminian Hamid R. Rabiee 55 0 0 02 Feb 2025
Perturbation-based Graph Active Learning for Weakly-Supervised Belief Representation Learning Dachun Sun Ruijie Wang Jinning Li Ruipeng Han Xinyi Liu You Lyu Tarek Abdelzaher 34 0 0 24 Oct 2024
LEGO-Learn: Label-Efficient Graph Open-Set Learning Haoyan Xu Kay Liu Zhengtao Yao Philip S. Yu Mengyuan Li Yue Zhao Yue Zhao OODD 68 6 0 21 Oct 2024
DELTA: Dual Consistency Delving with Topological Uncertainty for Active Graph Domain Adaptation Pengyun Wang Yadi Cao Chris Russell Yanxin Shen Junyu Luo Ming Zhang Siyu Heng Zhiyuan Ning 51 1 0 13 Sep 2024
Robust Offline Active Learning on Graphs Yuanchen Wu Yubai Yuan OffRL 23 0 0 15 Aug 2024
Enhancing Graph Neural Networks with Limited Labeled Data by Actively Distilling Knowledge from Large Language Models Quan Li Tianxiang Zhao Lingwei Chen Junjie Xu Suhang Wang AI4CE 51 1 0 19 Jul 2024
FastGAS: Fast Graph-based Annotation Selection for In-Context Learning Zihan Chen Song Wang Cong Shen Jundong Li 43 4 0 06 Jun 2024
Uncertainty for Active Learning on Graphs Dominik Fuchsgruber Tom Wollschlager Bertrand Charpentier Antonio Oroz Stephan Günnemann 46 10 0 02 May 2024
A Survey on Deep Active Learning: Recent Advances and New Frontiers Dongyuan Li Zhen Wang Yankai Chen Xue Liu Weiping Ding Manabu Okumura 52 21 0 01 May 2024
Uncertainty in Graph Neural Networks: A Survey Fangxin Wang Yuqing Liu Kay Liu Yibo Wang Sourav Medya Philip S. Yu AI4CE 53 8 0 11 Mar 2024
On the Topology Awareness and Generalization Performance of Graph Neural Networks Junwei Su Chuan Wu AI4CE 32 0 0 07 Mar 2024
Class-Balanced and Reinforced Active Learning on Graphs Chengcheng Yu Jiapeng Zhu Xiang Li 32 1 0 15 Feb 2024
Graph-Skeleton: ~1% Nodes are Sufficient to Represent Billion-Scale Graph Linfeng Cao Haoran Deng Yang Yang Chunping Wang Lei Chen 38 9 0 14 Feb 2024
Active Learning for Graphs with Noisy Structures Hongliang Chi Cong Qi Suhang Wang Yao Ma 38 3 0 04 Feb 2024
Multitask Active Learning for Graph Anomaly Detection Wenjing Chang Kay Liu Kaize Ding Philip S. Yu Jianjun Yu 50 8 0 24 Jan 2024
Better with Less: A Data-Active Perspective on Pre-Training Graph Neural Networks Jiarong Xu Renhong Huang Xin Jiang Yuxuan Cao Carl Yang Chunping Wang Yang Yang AI4CE 44 14 0 02 Nov 2023
Data-centric Graph Learning: A Survey Jixi Liu Deyu Bo Cheng Yang Haoran Dai Qi Zhang Yixin Xiao Yufei Peng Chuan Shi GNN 35 19 0 08 Oct 2023
Label-free Node Classification on Graphs with Large Language Models (LLMS) Zhikai Chen Haitao Mao Hongzhi Wen Haoyu Han Wei-dong Jin Haiyang Zhang Hui Liu Jiliang Tang 36 75 0 07 Oct 2023
Towards Data-centric Graph Machine Learning: Review and Outlook Xin Zheng Yixin Liu Zhifeng Bao Meng Fang Xia Hu Alan Wee-Chung Liew Shirui Pan GNN AI4CE 39 19 0 20 Sep 2023
Mitigating Semantic Confusion from Hostile Neighborhood for Graph Active Learning Tianmeng Yang Min Zhou Yujing Wang Zhe-Min Lin Lujia Pan Bin Cui Yu Tong AAML 36 3 0 17 Aug 2023
DiffusAL: Coupling Active Learning with Graph Diffusion for Label-Efficient Node Classification Sandra Gilhuber Julian Busch Daniel Rotthues Christian M. m. Frey Thomas Seidl DiffM 41 1 0 31 Jul 2023
Towards Label Position Bias in Graph Neural Networks Haoyu Han Xiaorui Liu Feng Shi MohamadAli Torkamani Charu C. Aggarwal Jiliang Tang 42 4 0 25 May 2023
Generative Flow Networks for Precise Reward-Oriented Active Learning on Graphs Yinchuan Li Zhigang Li Wenqian Li Yunfeng Shao Yan Zheng Jianye Hao 32 3 0 24 Apr 2023
A Unified Active Learning Framework for Annotating Graph Data with Application to Software Source Code Performance Prediction P. Samoaa Linus Aronsson Antonio Longa Philipp Leitner M. Chehreghani 24 6 0 06 Apr 2023
Dissimilar Nodes Improve Graph Active Learning Zhicheng Ren Yifu Yuan Yuxin Wu Xiaxuan Gao Yewen Wang Yizhou Sun 21 3 0 05 Dec 2022
SMARTQUERY: An Active Learning Framework for Graph Neural Networks through Hybrid Uncertainty Reduction Xiaoting Li Yuhang Wu Vineeth Rakesh Yusan Lin Hao Yang Fei Wang GNN 36 7 0 02 Dec 2022
Poisson Reweighted Laplacian Uncertainty Sampling for Graph-based Active Learning Kevin Miller Jeff Calder 24 6 0 27 Oct 2022
JuryGCN: Quantifying Jackknife Uncertainty on Graph Convolutional Networks Jian Kang Qinghai Zhou Hanghang Tong UQCV 41 21 0 12 Oct 2022
ScatterSample: Diversified Label Sampling for Data Efficient Graph Neural Network Learning Zhenwei Dai Vasileios Ioannidis Soji Adeshina Zak Jost Christos Faloutsos George Karypis UQCV 28 1 0 09 Jun 2022
Tackling Provably Hard Representative Selection via Graph Neural Networks Seyed Mehran Kazemi Anton Tsitsulin Hossein Esfandiari M. Bateni Deepak Ramachandran Bryan Perozzi Vahab Mirrokni 31 2 0 20 May 2022
Can I see an Example? Active Learning the Long Tail of Attributes and Relations Tyler L. Hayes Maximilian Nickel Christopher Kanan Ludovic Denoyer Arthur Szlam VLM 27 3 0 11 Mar 2022
Information Gain Propagation: a new way to Graph Active Learning with Soft Labels Wentao Zhang Yexin Wang Zhenbang You Meng Cao Ping Huang Jiulong Shan Zhi-Xin Yang Bin Cui AAML 38 19 0 02 Mar 2022
Partition-Based Active Learning for Graph Neural Networks Jiaqi Ma Ziqiao Ma Joyce Chai Qiaozhu Mei 24 15 0 23 Jan 2022
Deep Unsupervised Active Learning on Learnable Graphs Handong Ma Changsheng Li Xinchu Shi Ye Yuan Guoren Wang 14 6 0 08 Nov 2021
RIM: Reliable Influence-based Active Learning on Graphs Wentao Zhang Yexin Wang Zhenbang You Mengyao Cao Ping Huang Jiulong Shan Zhi-Xin Yang Bin Cui 40 30 0 28 Oct 2021
Graph Neural Networks: Methods, Applications, and Opportunities Lilapati Waikhom Ripon Patgiri GNN 39 42 0 24 Aug 2021
Grain: Improving Data Efficiency of Graph Neural Networks via Diversified Influence Maximization Wentao Zhang Zhi-Xin Yang Yexin Wang Yu Shen Yang Li Liang Wang Bin Cui 14 50 0 31 Jul 2021
LSCALE: Latent Space Clustering-Based Active Learning for Node Classification Juncheng Liu Yiwei Wang Bryan Hooi Renchi Yang X. Xiao 36 7 0 13 Dec 2020
When Contrastive Learning Meets Active Learning: A Novel Graph Active Learning Paradigm with Self-Supervision Yanqiao Zhu Weizhi Xu Qiang Liu Shu Wu 13 0 0 30 Oct 2020
Graph-based Reinforcement Learning for Active Learning in Real Time: An Application in Modeling River Networks X. Jia Beiyu Lin Jacob Aaron Zwart J. Sadler A. Appling S. Oliver J. Read OffRL AI4CE 39 6 0 27 Oct 2020
Meta-Active Learning for Node Response Prediction in Graphs Tomoharu Iwata 11 0 0 12 Oct 2020
MetAL: Active Semi-Supervised Learning on Graphs via Meta Learning Kaushalya Madhawa T. Murata AI4CE 35 8 0 22 Jul 2020
Active Learning on Attributed Graphs via Graph Cognizant Logistic Regression and Preemptive Query Generation Florence Regol Soumyasundar Pal Yingxue Zhang Mark J. Coates 8 12 0 09 Jul 2020
Graph Policy Network for Transferable Active Learning on Graphs Shengding Hu Zheng Xiong Meng Qu Xingdi Yuan Marc-Alexandre Côté Zhiyuan Liu Jian Tang GNN 30 65 0 24 Jun 2020
Sequential Graph Convolutional Network for Active Learning Razvan Caramalau Binod Bhattarai Tae-Kyun Kim GNN 27 118 0 18 Jun 2020
ALPINE: Active Link Prediction using Network Embedding Xi Chen Bo Kang Jefrey Lijffijt T. D. Bie 30 3 0 04 Feb 2020
Active Learning for Entity Alignment M. Berrendorf Evgeniy Faerman Volker Tresp 27 17 0 24 Jan 2020