Learning to Propagate for Graph Meta-Learning

11 September 2019

Papers citing "Learning to Propagate for Graph Meta-Learning"

48 / 48 papers shown

Title
Dual-level Mixup for Graph Few-shot Learning with Fewer Tasks Y. Liu Mengyu Li Fausto Giunchiglia Lan Huang Ximing Li Xiaoyue Feng Renchu Guan 43 0 0 21 Feb 2025
CPT: Competence-progressive Training Strategy for Few-shot Node Classification Qilong Yan Yufeng Zhang Jinghao Zhang Jingpu Duan Jian Yin 49 0 0 03 Jan 2025
Hyperbolic Graph Neural Networks at Scale: A Meta Learning Approach Nurendra Choudhary Nikhil S. Rao Chandan K. Reddy 28 6 0 29 Oct 2023
Fair Few-shot Learning with Auxiliary Sets Song Wang Jing Ma Lu Cheng Jundong Li 48 2 0 28 Aug 2023
Federated Few-shot Learning Song Wang Xingbo Fu Kaize Ding Chen Chen Huiyuan Chen Jundong Li FedML 42 22 0 17 Jun 2023
Task-Equivariant Graph Few-shot Learning Sungwon Kim Junseok Lee Namkyeong Lee Wonjoon Kim Seung-Deok Choi Chanyoung Park 26 6 0 30 May 2023
Learning to Learn from APIs: Black-Box Data-Free Meta-Learning Zixuan Hu Li Shen Zhenyi Wang Baoyuan Wu Chun Yuan Dacheng Tao 47 7 0 28 May 2023
Architecture, Dataset and Model-Scale Agnostic Data-free Meta-Learning Zixuan Hu Li Shen Zhenyi Wang Tongliang Liu Chun Yuan Dacheng Tao 47 4 0 20 Mar 2023
Relational Multi-Task Learning: Modeling Relations between Data and Tasks Kaidi Cao Jiaxuan You J. Leskovec 22 17 0 14 Mar 2023
Few-shot Node Classification with Extremely Weak Supervision Song Wang Yushun Dong Kaize Ding Chen Chen Jundong Li 21 19 0 06 Jan 2023
Transductive Linear Probing: A Novel Framework for Few-Shot Node Classification Zhen Tan Song Wang Kaize Ding Jundong Li Huan Liu 24 26 0 11 Dec 2022
Graph Few-shot Learning with Task-specific Structures Song Wang Chen Chen Jundong Li 42 22 0 21 Oct 2022
Federated Learning from Pre-Trained Models: A Contrastive Learning Approach Yue Tan Guodong Long Jie Ma Lu Liu Tianyi Zhou Jing Jiang FedML 31 169 0 21 Sep 2022
Tree Structure-Aware Few-Shot Image Classification via Hierarchical Aggregation M. Zhang Siteng Huang Wenbin Li Donglin Wang VLM 25 32 0 14 Jul 2022
Task-Adaptive Few-shot Node Classification Song Wang Kaize Ding Chuxu Zhang Chen Chen Jundong Li OffRL 36 48 0 23 Jun 2022
Is Bayesian Model-Agnostic Meta Learning Better than Model-Agnostic Meta Learning, Provably? Lisha Chen Tianyi BDL 27 16 0 06 Mar 2022
Graph Representation Learning for Multi-Task Settings: a Meta-Learning Approach Davide Buffelli Fabio Vandin AI4CE 20 6 0 10 Jan 2022
Automated Deep Learning: Neural Architecture Search Is Not the End Xuanyi Dong D. Kedziora Katarzyna Musial Bogdan Gabrys 25 26 0 16 Dec 2021
Few-Shot Learning with a Strong Teacher Han-Jia Ye Lu Ming De-Chuan Zhan Wei-Lun Chao 19 49 0 01 Jul 2021
ECKPN: Explicit Class Knowledge Propagation Network for Transductive Few-shot Learning Chaofan CHEN Xiaoshan Yang Changsheng Xu Xuhui Huang Zhe Ma 28 50 0 16 Jun 2021
Robust Graph Meta-learning for Weakly-supervised Few-shot Node Classification Kaize Ding Jianling Wang Jundong Li James Caverlee Huan Liu OOD OffRL 20 6 0 12 Jun 2021
Meta-Inductive Node Classification across Graphs Zhihao Wen Yuan Fang Zemin Liu 38 34 0 14 May 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 22 8 0 01 Mar 2021
Model-Agnostic Graph Regularization for Few-Shot Learning Ethan Shen Maria Brbic Nicholas Monath Jiaqi Zhai Manzil Zaheer J. Leskovec 15 3 0 14 Feb 2021
Isometric Propagation Network for Generalized Zero-shot Learning Lu Liu Dinesh Manocha Guodong Long Jing Jiang Xuanyi Dong Chengqi Zhang 21 36 0 03 Feb 2021
Combat Data Shift in Few-shot Learning with Knowledge Graph Yongchun Zhu Fuzhen Zhuang Xiangliang Zhang Zhiyuan Qi Zhiping Shi Juan Cao Qing He OOD 13 4 0 27 Jan 2021
Graph Neural Network for Traffic Forecasting: A Survey Weiwei Jiang Jiayun Luo GNN AI4TS AI4CE 35 837 0 27 Jan 2021
Episodic memory governs choices: An RNN-based reinforcement learning model for decision-making task Xiaohan Zhang Lu Liu Guodong Long Jing Jiang Shenquan Liu 37 18 0 24 Jan 2021
Free Lunch for Few-shot Learning: Distribution Calibration Shuo Yang Lu Liu Min Xu OODD 219 322 0 16 Jan 2021
A Meta-Learning Approach for Graph Representation Learning in Multi-Task Settings Davide Buffelli Fabio Vandin AI4CE 20 14 0 12 Dec 2020
Confusable Learning for Large-class Few-Shot Classification B. Li Bo Han Zhuowei Wang Jing Jiang Guodong Long 26 2 0 06 Nov 2020
Learning Invariant Representations and Risks for Semi-supervised Domain Adaptation Bo-wen Li Yezhen Wang Shanghang Zhang Dongsheng Li Trevor Darrell Kurt Keutzer Han Zhao OOD 14 93 0 09 Oct 2020
Attribute Propagation Network for Graph Zero-shot Learning Lu Liu Dinesh Manocha Guodong Long Jing Jiang Chengqi Zhang VLM 27 75 0 24 Sep 2020
Revisiting Mid-Level Patterns for Cross-Domain Few-Shot Recognition Yixiong Zou Shanghang Zhang Jianpeng Yu Yonghong Tian José M. F. Moura 18 15 0 07 Aug 2020
Hierarchical Protein Function Prediction with Tail-GNNs Stefan Spalević Petar Velivcković Jovana Kovavcević Mladen Nikolic AI4CE 15 5 0 24 Jul 2020
Adaptive Task Sampling for Meta-Learning Chenghao Liu Zhihao Wang Doyen Sahoo Yuan Fang Anton van den Hengel S. Hoi 25 54 0 17 Jul 2020
Concept Learners for Few-Shot Learning Kaidi Cao Maria Brbic J. Leskovec VLM OffRL 27 4 0 14 Jul 2020
Many-Class Few-Shot Learning on Multi-Granularity Class Hierarchy Lu Liu Dinesh Manocha Guodong Long Jing Jiang Chengqi Zhang 8 27 0 28 Jun 2020
Graph Prototypical Networks for Few-shot Learning on Attributed Networks Kaize Ding Jianling Wang Jundong Li Kai Shu Chenghao Liu Huan Liu 19 156 0 23 Jun 2020
A Universal Representation Transformer Layer for Few-Shot Image Classification Lu Liu William L. Hamilton Guodong Long Jing Jiang Hugo Larochelle ViT 29 125 0 21 Jun 2020
Self-Attention Enhanced Patient Journey Understanding in Healthcare System Xueping Peng Guodong Long Tao Shen Sen Wang Jing Jiang AI4TS 10 17 0 15 Jun 2020
Graph Meta Learning via Local Subgraphs Kexin Huang Marinka Zitnik 39 161 0 14 Jun 2020
Learning to Extrapolate Knowledge: Transductive Few-shot Out-of-Graph Link Prediction Jinheon Baek Dong Bok Lee Sung Ju Hwang 19 87 0 11 Jun 2020
Interpretable Time-series Classification on Few-shot Samples Wensi Tang Lu Liu Guodong Long AI4TS 8 20 0 03 Jun 2020
Adaptive-Step Graph Meta-Learner for Few-Shot Graph Classification Ning Ma Jiajun Bu Jieyu Yang Zhen Zhang Chengwei Yao Zhi Yu Sheng Zhou Xifeng Yan 29 5 0 18 Mar 2020
Meta-Graph: Few Shot Link Prediction via Meta Learning A. Bose Ankit Jain Piero Molino William L. Hamilton 30 63 0 20 Dec 2019
Self-Attention Enhanced Selective Gate with Entity-Aware Embedding for Distantly Supervised Relation Extraction Tao Shen Guodong Long Tao Shen Dinesh Manocha Lina Yao Huan Huo Jing Jiang 27 76 0 27 Nov 2019
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 359 11,684 0 09 Mar 2017