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"

18 / 18 papers shown

Title
CPT: Competence-progressive Training Strategy for Few-shot Node Classification Qilong Yan Yufeng Zhang Jinghao Zhang Jingpu Duan Jian Yin 56 0 0 03 Jan 2025
Exploring Graph Classification Techniques Under Low Data Constraints: A Comprehensive Study Kush Kothari Bhavya Mehta Reshmika Nambiar S. Shrawne 24 0 0 21 Nov 2023
A Survey of Imbalanced Learning on Graphs: Problems, Techniques, and Future Directions Zemin Liu Yuan N. Li Nan-Fang Chen Qian Wang Bryan Hooi Bin He FaML 14 13 0 26 Aug 2023
One shot learning based drivers head movement identification using a millimetre wave radar sensor Hong Nhung Nguyen Seongwook Lee Tien-Tung Nguyen Yong-Hwa Kim 14 6 0 31 May 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 36 30 0 09 Jun 2022
Metric Based Few-Shot Graph Classification Donato Crisostomi Simone Antonelli Valentino Maiorca Luca Moschella R. Marin Emanuele Rodolà 37 5 0 08 Jun 2022
Graph-level Neural Networks: Current Progress and Future Directions Ge Zhang Jia Wu Jian Yang Shan Xue Wenbin Hu Chuan Zhou Hao Peng Quan.Z Sheng Charu C. Aggarwal GNN AI4CE 49 0 0 31 May 2022
FAITH: Few-Shot Graph Classification with Hierarchical Task Graphs Song Wang Yushun Dong Xiao Huang Chen Chen Jundong Li 28 23 0 05 May 2022
BERTops: Studying BERT Representations under a Topological Lens Jatin Chauhan Manohar Kaul 24 3 0 02 May 2022
Few-Shot Learning on Graphs Chuxu Zhang Kaize Ding Jundong Li Xiangliang Zhang Yanfang Ye Nitesh V. Chawla Huan Liu 30 18 0 17 Mar 2022
Cross-Domain Few-Shot Graph Classification Kaveh Hassani 18 31 0 20 Jan 2022
A Variational Graph Autoencoder for Manipulation Action Recognition and Prediction Gamze Akyol Sanem Sariel E. Aksoy GNN DRL BDL 41 2 0 25 Oct 2021
What Can Knowledge Bring to Machine Learning? -- A Survey of Low-shot Learning for Structured Data Yang Hu Adriane P. Chapman Guihua Wen Dame Wendy Hall 42 24 0 11 Jun 2021
Structure-Enhanced Meta-Learning For Few-Shot Graph Classification Shunyu Jiang Fuli Feng Weijia Chen Xiang Li Xiangnan He 25 18 0 05 Mar 2021
Graph Meta Learning via Local Subgraphs Kexin Huang Marinka Zitnik 42 161 0 14 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
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 410 11,700 0 09 Mar 2017
Geometric deep learning: going beyond Euclidean data M. Bronstein Joan Bruna Yann LeCun Arthur Szlam P. Vandergheynst GNN 261 3,240 0 24 Nov 2016