Few-Shot Learning on Graphs via Super-Classes based on Graph Spectral Measures

27 February 2020

Papers citing "Few-Shot Learning on Graphs via Super-Classes based on Graph Spectral Measures"

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
Exploring Graph Classification Techniques Under Low Data Constraints: A Comprehensive Study Kush Kothari Bhavya Mehta Reshmika Nambiar S. Shrawne 13 0 0 21 Nov 2023
Data-Efficient Brain Connectome Analysis via Multi-Task Meta-Learning Yi Yang Yanqiao Zhu Hejie Cui Xuan Kan Lifang He Ying Guo Carl Yang 19 30 0 09 Jun 2022
Metric Based Few-Shot Graph Classification Donato Crisostomi Simone Antonelli Valentino Maiorca Luca Moschella R. Marin Emanuele Rodolà 16 5 0 08 Jun 2022
FAITH: Few-Shot Graph Classification with Hierarchical Task Graphs Song Wang Yushun Dong Xiao Huang Chen Chen Jundong Li 17 23 0 05 May 2022
BERTops: Studying BERT Representations under a Topological Lens Jatin Chauhan Manohar Kaul 14 3 0 02 May 2022
Cross-Domain Few-Shot Graph Classification Kaveh Hassani 8 31 0 20 Jan 2022
A Variational Graph Autoencoder for Manipulation Action Recognition and Prediction Gamze Akyol Sanem Sariel E. Aksoy GNN DRL BDL 27 2 0 25 Oct 2021
Structure-Enhanced Meta-Learning For Few-Shot Graph Classification Shunyu Jiang Fuli Feng Weijia Chen Xiang Li Xiangnan He 17 18 0 05 Mar 2021
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 243 11,659 0 09 Mar 2017
Geometric deep learning: going beyond Euclidean data M. Bronstein Joan Bruna Yann LeCun Arthur Szlam P. Vandergheynst GNN 231 3,230 0 24 Nov 2016