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Meta-Learning with Graph Neural Networks: Methods and Applications

27 February 2021

Papers citing "Meta-Learning with Graph Neural Networks: Methods and Applications"

50 / 55 papers shown

Title
A Review of Graph-Powered Data Quality Applications for IoT Monitoring Sensor Networks Pau Ferrer-Cid Jose M. Barcelo-Ordinas J. García-Vidal 192 4 0 28 Oct 2024
Meta-Inductive Node Classification across Graphs Zhihao Wen Yuan Fang Zemin Liu 70 36 0 14 May 2021
How Fine-Tuning Allows for Effective Meta-Learning Kurtland Chua Qi Lei Jason D. Lee 87 49 0 05 May 2021
Structure-Enhanced Meta-Learning For Few-Shot Graph Classification Shunyu Jiang Fuli Feng Weijia Chen Xiang Li Xiangnan He 89 18 0 05 Mar 2021
Self-supervised Auxiliary Learning for Graph Neural Networks via Meta-Learning Dasol Hwang Jinyoung Park Sunyoung Kwon KyungHyun Kim Jung-Woo Ha Hyunwoo J. Kim OOD SSL 52 8 0 01 Mar 2021
Few-shot Network Anomaly Detection via Cross-network Meta-learning Kaize Ding Qinghai Zhou Hanghang Tong Huan Liu 117 127 0 22 Feb 2021
Combinatorial optimization and reasoning with graph neural networks Quentin Cappart Didier Chételat Elias Boutros Khalil Andrea Lodi Christopher Morris Petar Velickovic AI4CE 95 360 0 18 Feb 2021
Few-Shot Graph Learning for Molecular Property Prediction Zhichun Guo Chuxu Zhang Wenhao Yu John E. Herr Olaf Wiest Meng Jiang Nitesh Chawla AI4CE 172 175 0 16 Feb 2021
A Meta-Learning Approach for Graph Representation Learning in Multi-Task Settings Davide Buffelli Fabio Vandin AI4CE 85 14 0 12 Dec 2020
Graph Prototypical Networks for Few-shot Learning on Attributed Networks Kaize Ding Jianling Wang Jundong Li Kai Shu Chenghao Liu Huan Liu 52 165 0 23 Jun 2020
On the Theory of Transfer Learning: The Importance of Task Diversity Nilesh Tripuraneni Michael I. Jordan Chi Jin 122 220 0 20 Jun 2020
Graph Meta Learning via Local Subgraphs Kexin Huang Marinka Zitnik 91 166 0 14 Jun 2020
Learning to Extrapolate Knowledge: Transductive Few-shot Out-of-Graph Link Prediction Jinheon Baek Dong Bok Lee Sung Ju Hwang 93 90 0 11 Jun 2020
Meta-Learning in Neural Networks: A Survey Timothy M. Hospedales Antreas Antoniou P. Micaelli Amos Storkey OOD 398 1,988 0 11 Apr 2020
Few-Shot Learning on Graphs via Super-Classes based on Graph Spectral Measures Jatin Chauhan Deepak Nathani Manohar Kaul 53 70 0 27 Feb 2020
Provable Meta-Learning of Linear Representations Nilesh Tripuraneni Chi Jin Michael I. Jordan OOD 127 192 0 26 Feb 2020
Few-Shot Learning via Learning the Representation, Provably S. Du Wei Hu Sham Kakade Jason D. Lee Qi Lei SSL 70 262 0 21 Feb 2020
Generalization and Representational Limits of Graph Neural Networks Vikas Garg Stefanie Jegelka Tommi Jaakkola GNN 108 314 0 14 Feb 2020
A Fair Comparison of Graph Neural Networks for Graph Classification Federico Errica Marco Podda D. Bacciu Alessio Micheli FaML 142 449 0 20 Dec 2019
Meta-Graph: Few Shot Link Prediction via Meta Learning A. Bose Ankit Jain Piero Molino William L. Hamilton 68 66 0 20 Dec 2019
SimpleShot: Revisiting Nearest-Neighbor Classification for Few-Shot Learning Yan Wang Wei-Lun Chao Kilian Q. Weinberger Laurens van der Maaten VLM 73 341 0 12 Nov 2019
Graph Few-shot Learning via Knowledge Transfer Huaxiu Yao Chuxu Zhang Ying Wei Meng Jiang Suhang Wang Junzhou Huang Nitesh Chawla Z. Li 122 168 0 07 Oct 2019
Deep Dynamics Models for Learning Dexterous Manipulation Anusha Nagabandi K. Konolige Sergey Levine Vikash Kumar 220 417 0 25 Sep 2019
Meta Relational Learning for Few-Shot Link Prediction in Knowledge Graphs Yin Hua Wen Zhang Wei Zhang Qiang Chen Huajun Chen KELM 138 188 0 04 Sep 2019
Position-aware Graph Neural Networks Jiaxuan You Rex Ying J. Leskovec 98 498 0 11 Jun 2019
Adaptive Gradient-Based Meta-Learning Methods M. Khodak Maria-Florina Balcan Ameet Talwalkar FedML 106 356 0 06 Jun 2019
Exact Combinatorial Optimization with Graph Convolutional Neural Networks Maxime Gasse Didier Chételat Nicola Ferroni Laurent Charlin Andrea Lodi GNN CML 145 489 0 04 Jun 2019
Meta-GNN: On Few-shot Node Classification in Graph Meta-learning Fan Zhou Chengtai Cao Kunpeng Zhang Goce Trajcevski Ting Zhong Ji Geng 67 231 0 23 May 2019
MetaPred: Meta-Learning for Clinical Risk Prediction with Limited Patient Electronic Health Records Xi Sheryl Zhang Fengyi Tang H. H. Dodge Jiayu Zhou Fei Wang 54 110 0 08 May 2019
Learning-to-Learn Stochastic Gradient Descent with Biased Regularization Giulia Denevi C. Ciliberto Riccardo Grazzi Massimiliano Pontil 80 110 0 25 Mar 2019
Deep Neural Networks Improve Radiologists' Performance in Breast Cancer Screening Nan Wu Jason Phang Jungkyu Park Yiqiu Shen Zhe Huang ... S. G. Kim Laura Heacock Linda Moy Kyunghyun Cho Krzysztof J. Geras MedIm 49 499 0 20 Mar 2019
Provable Guarantees for Gradient-Based Meta-Learning M. Khodak Maria-Florina Balcan Ameet Talwalkar FedML 136 150 0 27 Feb 2019
Multi-Task Deep Neural Networks for Natural Language Understanding Xiaodong Liu Pengcheng He Weizhu Chen Jianfeng Gao AI4CE 147 1,273 0 31 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 801 8,579 0 03 Jan 2019
Graph Neural Networks: A Review of Methods and Applications Jie Zhou Ganqu Cui Shengding Hu Zhengyan Zhang Cheng Yang Zhiyuan Liu Lifeng Wang Changcheng Li Maosong Sun AI4CE GNN 1.1K 5,534 0 20 Dec 2018
Pitfalls of Graph Neural Network Evaluation Oleksandr Shchur Maximilian Mumme Aleksandar Bojchevski Stephan Günnemann GNN 171 1,366 0 14 Nov 2018
Combinatorial Optimization with Graph Convolutional Networks and Guided Tree Search Zhuwen Li Qifeng Chen V. Koltun GNN 94 478 0 25 Oct 2018
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding Jacob Devlin Ming-Wei Chang Kenton Lee Kristina Toutanova VLM SSL SSeg 1.8K 95,229 0 11 Oct 2018
Meta-Learning: A Survey Joaquin Vanschoren FedML OOD 76 762 0 08 Oct 2018
How Powerful are Graph Neural Networks? Keyulu Xu Weihua Hu J. Leskovec Stefanie Jegelka GNN 259 7,705 0 01 Oct 2018
SimGNN: A Neural Network Approach to Fast Graph Similarity Computation Yunsheng Bai Haoyang Ding Song Bian Ting-Li Chen Yizhou Sun Wei Wang GNN 65 324 0 16 Aug 2018
GaAN: Gated Attention Networks for Learning on Large and Spatiotemporal Graphs Jiani Zhang Xingjian Shi Junyuan Xie Hao Ma Irwin King Dit-Yan Yeung GNN 114 573 0 20 Mar 2018
Link Prediction Based on Graph Neural Networks Muhan Zhang Yixin Chen GNN 107 1,945 0 27 Feb 2018
Traffic Graph Convolutional Recurrent Neural Network: A Deep Learning Framework for Network-Scale Traffic Learning and Forecasting Zhiyong Cui Kristian C. Henrickson Ruimin Ke Ziyuan Pu Yinhai Wang GNN AI4TS 139 751 0 20 Feb 2018
Graph Attention Networks Petar Velickovic Guillem Cucurull Arantxa Casanova Adriana Romero Pietro Lio Yoshua Bengio GNN 484 20,265 0 30 Oct 2017
Representation Learning on Graphs: Methods and Applications William L. Hamilton Rex Ying J. Leskovec GNN 192 1,980 0 17 Sep 2017
Inductive Representation Learning on Large Graphs William L. Hamilton Z. Ying J. Leskovec 516 15,331 0 07 Jun 2017
Learning Combinatorial Optimization Algorithms over Graphs H. Dai Elias Boutros Khalil Yuyu Zhang B. Dilkina Le Song 130 1,475 0 05 Apr 2017
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 833 11,952 0 09 Mar 2017
Variational Graph Auto-Encoders Thomas Kipf Max Welling GNN BDL SSL CML 155 3,595 0 21 Nov 2016