FAITH: Few-Shot Graph Classification with Hierarchical Task Graphs

FAITH: Few-Shot Graph Classification with Hierarchical Task Graphs

5 May 2022

Papers citing "FAITH: Few-Shot Graph Classification with Hierarchical Task Graphs"

19 / 19 papers shown

Title
GOTHAM: Graph Class Incremental Learning Framework under Weak Supervision Aditya Hemant Shahane Prathosh A.P Sandeep Kumar CLL 20 0 0 07 Apr 2025
HC-GST: Heterophily-aware Distribution Consistency based Graph Self-training Fali Wang Tianxiang Zhao Junjie Xu Suhang Wang 30 1 0 25 Jul 2024
ProG: A Graph Prompt Learning Benchmark Chenyi Zi Haihong Zhao Xiangguo Sun Yiqing Lin Hong Cheng Jia Li 46 9 0 08 Jun 2024
FlexiDrop: Theoretical Insights and Practical Advances in Random Dropout Method on GNNs Zhiheng Zhou Sihao Liu Weichen Zhao 24 0 0 30 May 2024
MultiGPrompt for Multi-Task Pre-Training and Prompting on Graphs Xingtong Yu Chang Zhou Yuan Fang Xinming Zhang 20 29 0 28 Nov 2023
Generalized Graph Prompt: Toward a Unification of Pre-Training and Downstream Tasks on Graphs Xingtong Yu Zhenghao Liu Yuan Fang Zemin Liu Sihong Chen Xinming Zhang 33 24 0 26 Nov 2023
Rayleigh Quotient Graph Neural Networks for Graph-level Anomaly Detection Xiangyu Dong Xingyi Zhang Sibo Wang GNN 11 13 0 04 Oct 2023
Fair Few-shot Learning with Auxiliary Sets Song Wang Jing Ma Lu Cheng Jundong Li 35 2 0 28 Aug 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 11 12 0 26 Aug 2023
Contrastive Meta-Learning for Few-shot Node Classification Song Wang Zhen Tan Huan Liu Jundong Li 18 15 0 27 Jun 2023
Federated Few-shot Learning Song Wang Xingbo Fu Kaize Ding Chen Chen Huiyuan Chen Jundong Li FedML 29 22 0 17 Jun 2023
GraphPrompt: Unifying Pre-Training and Downstream Tasks for Graph Neural Networks Zemin Liu Xingtong Yu Yuan Fang Xinming Zhang LLMAG AI4CE 19 132 0 16 Feb 2023
Few-shot Node Classification with Extremely Weak Supervision Song Wang Yushun Dong Kaize Ding Chen Chen Jundong Li 19 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 25 0 11 Dec 2022
Graph Few-shot Learning with Task-specific Structures Song Wang Chen Chen Jundong Li 37 21 0 21 Oct 2022
Metric Based Few-Shot Graph Classification Donato Crisostomi Simone Antonelli Valentino Maiorca Luca Moschella R. Marin Emanuele Rodolà 11 5 0 08 Jun 2022
Few-Shot Graph Learning for Molecular Property Prediction Zhichun Guo Chuxu Zhang W. Yu John E. Herr Olaf Wiest Meng-Long Jiang Nitesh V. Chawla AI4CE 106 168 0 16 Feb 2021
Representation Learning on Graphs with Jumping Knowledge Networks Keyulu Xu Chengtao Li Yonglong Tian Tomohiro Sonobe Ken-ichi Kawarabayashi Stefanie Jegelka GNN 229 1,935 0 09 Jun 2018
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 243 11,568 0 09 Mar 2017