Learning to Propagate for Graph Meta-Learning

Learning to Propagate for Graph Meta-Learning

11 September 2019

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

11 / 11 papers shown

Title
CPT: Competence-progressive Training Strategy for Few-shot Node Classification Qilong Yan Yufeng Zhang Jinghao Zhang Jingpu Duan Jian Yin 42 0 0 03 Jan 2025
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 45 4 0 20 Mar 2023
Transductive Linear Probing: A Novel Framework for Few-Shot Node Classification Zhen Tan Song Wang Kaize Ding Jundong Li Huan Liu 24 25 0 11 Dec 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
Episodic memory governs choices: An RNN-based reinforcement learning model for decision-making task Xiaohan Zhang Lu Liu Guodong Long Jing Jiang Shenquan Liu 18 18 0 24 Jan 2021
Concept Learners for Few-Shot Learning Kaidi Cao Maria Brbic J. Leskovec VLM OffRL 6 4 0 14 Jul 2020
Graph Prototypical Networks for Few-shot Learning on Attributed Networks Kaize Ding Jianling Wang Jundong Li Kai Shu Chenghao Liu Huan Liu 12 156 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 17 125 0 21 Jun 2020
Meta-Graph: Few Shot Link Prediction via Meta Learning A. Bose Ankit Jain Piero Molino William L. Hamilton 22 62 0 20 Dec 2019
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 243 11,568 0 09 Mar 2017