Property-Aware Relation Networks for Few-Shot Molecular Property Prediction

16 July 2021

Papers citing "Property-Aware Relation Networks for Few-Shot Molecular Property Prediction"

35 / 35 papers shown

Title
A Survey of Graph Transformers: Architectures, Theories and Applications Chaohao Yuan Kangfei Zhao Ercan Engin Kuruoglu Liang Wang Tingyang Xu Wenbing Huang Deli Zhao Hong Cheng Yu Rong 57 4 0 23 Feb 2025
Pin-Tuning: Parameter-Efficient In-Context Tuning for Few-Shot Molecular Property Prediction Liang Wang Qiang Liu Shaozhen Liu Xin Sun Shu Wu Liang Wang 39 2 0 02 Nov 2024
Contextual Representation Anchor Network to Alleviate Selection Bias in Few-Shot Drug Discovery Ruifeng Li Wei Liu Xiangxin Zhou Mingqian Li Qiang Zhang Hongyang Chen Xuemin Lin 44 0 0 28 Oct 2024
ConML: A Universal Meta-Learning Framework with Task-Level Contrastive Learning Shiguang Wu Yaqing Wang Yatao Bian Quanming Yao CLL 28 0 0 08 Oct 2024
Advancements in Molecular Property Prediction: A Survey of Single and Multimodal Approaches Tanya Liyaqat T. Ahmad Chandni Saxena 32 2 0 18 Aug 2024
Towards Few-shot Self-explaining Graph Neural Networks Jingyu Peng Qi Liu Linan Yue Zaixi Zhang Kai Zhang Yunhao Sha MILM 24 2 0 14 Aug 2024
Core Knowledge Learning Framework for Graph Adaptation and Scalability Learning Bowen Zhang Zhichao Huang Genan Dai Guangning Xu Xiaomao Fan Hu Huang 36 0 0 02 Jul 2024
Knowledge-Aware Parsimony Learning: A Perspective from Relational Graphs Quanming Yao Yongqi Zhang Yaqing Wang Nan Yin James Kwok Qiang Yang 31 0 0 29 Jun 2024
MolecularGPT: Open Large Language Model (LLM) for Few-Shot Molecular Property Prediction Yuyan Liu Sirui Ding Sheng Zhou Wenqi Fan Qiaoyu Tan 42 7 0 18 Jun 2024
Adapting Differential Molecular Representation with Hierarchical Prompts for Multi-label Property Prediction Linjia Kang Songhua Zhou Shuyan Fang Shichao Liu Wen Zhang AI4CE 52 3 0 29 May 2024
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
Few-shot Learning on Heterogeneous Graphs: Challenges, Progress, and Prospects Pengfei Ding Yan Wang Guanfeng Liu 38 1 0 10 Mar 2024
Impact of Domain Knowledge and Multi-Modality on Intelligent Molecular Property Prediction: A Systematic Survey Taojie Kuang Pengfei Liu Zhixiang Ren AI4CE 50 1 0 11 Feb 2024
Molecular Property Prediction Based on Graph Structure Learning Bangyi Zhao Weixia Xu Jihong Guan Shuigeng Zhou 19 7 0 28 Dec 2023
PACIA: Parameter-Efficient Adapter for Few-Shot Molecular Property Prediction Shiguang Wu Yaqing Wang Quanming Yao 24 4 0 01 Oct 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
Graph Sampling-based Meta-Learning for Molecular Property Prediction Zhuang Xiang Qiang Zhang Bin Wu Keyan Ding Yin Fang Hua-zeng Chen 23 10 0 29 Jun 2023
Context-enriched molecule representations improve few-shot drug discovery Johannes Schimunek Philipp Seidl Lukas Friedrich Daniel Kuhn F. Rippmann Sepp Hochreiter G. Klambauer 50 26 0 24 Apr 2023
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
Enhancing Activity Prediction Models in Drug Discovery with the Ability to Understand Human Language Philipp Seidl Andreu Vall Sepp Hochreiter G. Klambauer 62 37 0 06 Mar 2023
Knowledge-augmented Graph Machine Learning for Drug Discovery: A Survey from Precision to Interpretability Zhiqiang Zhong A. Barkova Davide Mottin 24 8 0 16 Feb 2023
Implicit Geometry and Interaction Embeddings Improve Few-Shot Molecular Property Prediction Christopher Fifty Joseph M. Paggi Ehsan Amid J. Leskovec R. Dror AI4CE 20 0 0 04 Feb 2023
A Survey On Few-shot Knowledge Graph Completion with Structural and Commonsense Knowledge Haodi Ma D. Wang 29 6 0 03 Jan 2023
PEMP: Leveraging Physics Properties to Enhance Molecular Property Prediction Yuancheng Sun Yimeng Chen Weizhi Ma Wenhao Huang Kang Liu Zhiming Ma Wei-Ying Ma Yanyan Lan 20 7 0 18 Oct 2022
Contrastive Graph Few-Shot Learning Chunhui Zhang Hongfu Liu Jundong Li Yanfang Ye Chuxu Zhang 27 1 0 30 Sep 2022
Graph-based Molecular Representation Learning Zhichun Guo Kehan Guo B. Nan Yijun Tian Roshni G. Iyer ... Olaf Wiest Xiangliang Zhang Wei Wang Chuxu Zhang Nitesh V. Chawla AI4CE 22 60 0 08 Jul 2022
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 Kuangqi Zhou Kaixin Wang Jiashi Feng Jian Tang Tingyang Xu Xinchao Wang 29 1 0 23 May 2022
Meta-learning Adaptive Deep Kernel Gaussian Processes for Molecular Property Prediction Wenlin Chen Austin Tripp José Miguel Hernández-Lobato 19 23 0 05 May 2022
Few-Shot Learning on Graphs Chuxu Zhang Kaize Ding Jundong Li Xiangliang Zhang Yanfang Ye Nitesh V. Chawla Huan Liu 27 18 0 17 Mar 2022
Graph Neural Networks for Double-Strand DNA Breaks Prediction X. U. Wang Huan Zhao Weiwei Tu Hao Li Yu Sun Xiaochen Bo 11 2 0 04 Jan 2022
Few-Shot Graph Learning for Molecular Property Prediction Zhichun Guo Chuxu Zhang W. Yu John E. Herr Olaf Wiest Meng Jiang Nitesh V. Chawla AI4CE 116 170 0 16 Feb 2021
Automorphic Equivalence-aware Graph Neural Network Fengli Xu Quanming Yao Pan Hui Yong Li 23 5 0 09 Nov 2020
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 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