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Few-Shot Graph Learning for Molecular Property Prediction

Few-Shot Graph Learning for Molecular Property Prediction

16 February 2021
Zhichun Guo
Chuxu Zhang
W. Yu
John E. Herr
Olaf Wiest
Meng Jiang
Nitesh V. Chawla
    AI4CE
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Papers citing "Few-Shot Graph Learning for Molecular Property Prediction"

18 / 18 papers shown
Title
Multi-Hierarchical Fine-Grained Feature Mapping Driven by Feature Contribution for Molecular Odor Prediction
Multi-Hierarchical Fine-Grained Feature Mapping Driven by Feature Contribution for Molecular Odor Prediction
Hong Xin Xie
Jian De Sun
Fan Fu Xue
Zi Fei Han
S. Feng
Qi Chen
51
0
0
01 May 2025
Knowledge-enhanced Relation Graph and Task Sampling for Few-shot
  Molecular Property Prediction
Knowledge-enhanced Relation Graph and Task Sampling for Few-shot Molecular Property Prediction
Zeyu Wang
Tianyi Jiang
Yao Lu
Xiaoze Bao
Shanqing Yu
Bin Wei
Qi Xuan
42
1
0
24 May 2024
A Survey of Imbalanced Learning on Graphs: Problems, Techniques, and
  Future Directions
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
A Comprehensive Survey on Deep Graph Representation Learning
A Comprehensive Survey on Deep Graph Representation Learning
Wei Ju
Zheng Fang
Yiyang Gu
Zequn Liu
Qingqing Long
...
Jingyang Yuan
Yusheng Zhao
Yifan Wang
Xiao Luo
Ming Zhang
GNN
AI4TS
51
141
0
11 Apr 2023
Few-shot Node Classification with Extremely Weak Supervision
Few-shot Node Classification with Extremely Weak Supervision
Song Wang
Yushun Dong
Kaize Ding
Chen Chen
Jundong Li
21
19
0
06 Jan 2023
Boosting Graph Neural Networks via Adaptive Knowledge Distillation
Boosting Graph Neural Networks via Adaptive Knowledge Distillation
Zhichun Guo
Chunhui Zhang
Yujie Fan
Yijun Tian
Chuxu Zhang
Nitesh V. Chawla
21
32
0
12 Oct 2022
Linkless Link Prediction via Relational Distillation
Linkless Link Prediction via Relational Distillation
Zhichun Guo
William Shiao
Shichang Zhang
Yozen Liu
Nitesh V. Chawla
Neil Shah
Tong Zhao
21
41
0
11 Oct 2022
Robust Knowledge Adaptation for Dynamic Graph Neural Networks
Robust Knowledge Adaptation for Dynamic Graph Neural Networks
Han Li
Changsheng Li
Kaituo Feng
Ye Yuan
Guoren Wang
H. Zha
29
13
0
22 Jul 2022
Condensing Graphs via One-Step Gradient Matching
Condensing Graphs via One-Step Gradient Matching
Wei Jin
Xianfeng Tang
Haoming Jiang
Zheng Li
Danqing Zhang
Jiliang Tang
Bin Ying
DD
31
98
0
15 Jun 2022
Feature Overcorrelation in Deep Graph Neural Networks: A New Perspective
Feature Overcorrelation in Deep Graph Neural Networks: A New Perspective
Wei Jin
Xiaorui Liu
Yao Ma
Charu C. Aggarwal
Jiliang Tang
30
42
0
15 Jun 2022
Data-Efficient Brain Connectome Analysis via Multi-Task Meta-Learning
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
Metric Based Few-Shot Graph Classification
Donato Crisostomi
Simone Antonelli
Valentino Maiorca
Luca Moschella
R. Marin
Emanuele Rodolà
24
5
0
08 Jun 2022
Tyger: Task-Type-Generic Active Learning for Molecular Property
  Prediction
Tyger: Task-Type-Generic Active Learning for Molecular Property Prediction
Kuangqi Zhou
Kaixin Wang
Jiashi Feng
Jian Tang
Tingyang Xu
Xinchao Wang
29
1
0
23 May 2022
FAITH: Few-Shot Graph Classification with Hierarchical Task Graphs
FAITH: Few-Shot Graph Classification with Hierarchical Task Graphs
Song Wang
Yushun Dong
Xiao Huang
Chen Chen
Jundong Li
26
23
0
05 May 2022
Supervised Graph Contrastive Learning for Few-shot Node Classification
Supervised Graph Contrastive Learning for Few-shot Node Classification
Zhen Tan
Kaize Ding
Ruocheng Guo
Huan Liu
OffRL
30
11
0
29 Mar 2022
Property-Aware Relation Networks for Few-Shot Molecular Property
  Prediction
Property-Aware Relation Networks for Few-Shot Molecular Property Prediction
Yaqing Wang
Abulikemu Abuduweili
Quanming Yao
Dejing Dou
39
68
0
16 Jul 2021
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn
Pieter Abbeel
Sergey Levine
OOD
338
11,684
0
09 Mar 2017
MoleculeNet: A Benchmark for Molecular Machine Learning
MoleculeNet: A Benchmark for Molecular Machine Learning
Zhenqin Wu
Bharath Ramsundar
Evan N. Feinberg
Joseph Gomes
C. Geniesse
Aneesh S. Pappu
K. Leswing
Vijay S. Pande
OOD
184
1,778
0
02 Mar 2017
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