Graph Neural Network Expressivity and Meta-Learning for Molecular Property Regression

24 September 2022

Papers citing "Graph Neural Network Expressivity and Meta-Learning for Molecular Property Regression"

30 / 30 papers shown

Title
Message passing all the way up Petar Velickovic 148 66 0 22 Feb 2022
A Meta-Learning Approach for Training Explainable Graph Neural Networks Indro Spinelli Simone Scardapane A. Uncini 84 22 0 20 Sep 2021
Meta-Inductive Node Classification across Graphs Zhihao Wen Yuan Fang Zemin Liu 70 36 0 14 May 2021
Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges M. Bronstein Joan Bruna Taco S. Cohen Petar Velivcković GNN 355 1,153 0 27 Apr 2021
Adaptive-Control-Oriented Meta-Learning for Nonlinear Systems Spencer M. Richards Navid Azizan Jean-Jacques E. Slotine Marco Pavone 64 72 0 07 Mar 2021
Structure-Enhanced Meta-Learning For Few-Shot Graph Classification Shunyu Jiang Fuli Feng Weijia Chen Xiang Li Xiangnan He 77 18 0 05 Mar 2021
Meta-Learning with Graph Neural Networks: Methods and Applications Debmalya Mandal Sourav Medya Brian Uzzi Charu C. Aggarwal AI4CE 65 22 0 27 Feb 2021
Few-shot Network Anomaly Detection via Cross-network Meta-learning Kaize Ding Qinghai Zhou Hanghang Tong Huan Liu 99 126 0 22 Feb 2021
E(n) Equivariant Graph Neural Networks Victor Garcia Satorras Emiel Hoogeboom Max Welling 111 1,022 0 19 Feb 2021
Few-Shot Graph Learning for Molecular Property Prediction Zhichun Guo Chuxu Zhang Wenhao Yu John E. Herr Olaf Wiest Meng Jiang Nitesh Chawla AI4CE 155 175 0 16 Feb 2021
Equivariant message passing for the prediction of tensorial properties and molecular spectra Kristof T. Schütt Oliver T. Unke M. Gastegger 110 534 0 05 Feb 2021
A Meta-Learning Approach for Graph Representation Learning in Multi-Task Settings Davide Buffelli Fabio Vandin AI4CE 78 14 0 12 Dec 2020
GraphNorm: A Principled Approach to Accelerating Graph Neural Network Training Tianle Cai Shengjie Luo Keyulu Xu Di He Tie-Yan Liu Liwei Wang GNN 84 165 0 07 Sep 2020
Graph Meta Learning via Local Subgraphs Kexin Huang Marinka Zitnik 84 166 0 14 Jun 2020
Meta-Learning GNN Initializations for Low-Resource Molecular Property Prediction Cuong C. Nguyen Constantine Kreatsoulas K. Branson AI4CE 41 14 0 12 Mar 2020
Fast Online Adaptation in Robotics through Meta-Learning Embeddings of Simulated Priors Rituraj Kaushik Timothée Anne Jean-Baptiste Mouret 73 53 0 10 Mar 2020
Few-Shot Learning on Graphs via Super-Classes based on Graph Spectral Measures Jatin Chauhan Deepak Nathani Manohar Kaul 53 70 0 27 Feb 2020
Alchemy: A Quantum Chemistry Dataset for Benchmarking AI Models Guangyong Chen Pengfei Chen Chang-Yu Hsieh Chee-Kong Lee B. Liao ... J. Qiu Qiming Sun Jie Tang R. Zemel Shengyu Zhang 55 76 0 22 Jun 2019
Meta-Learning for Low-resource Natural Language Generation in Task-oriented Dialogue Systems Fei Mi Minlie Huang Jiyong Zhang Boi Faltings 83 101 0 14 May 2019
MetaPred: Meta-Learning for Clinical Risk Prediction with Limited Patient Electronic Health Records Xi Sheryl Zhang Fengyi Tang H. H. Dodge Jiayu Zhou Fei Wang 52 109 0 08 May 2019
Adversarial Attacks on Graph Neural Networks via Meta Learning Daniel Zügner Stephan Günnemann OOD AAML GNN 126 572 0 22 Feb 2019
How to train your MAML Antreas Antoniou Harrison Edwards Amos Storkey 74 776 0 22 Oct 2018
Meta-Learning for Low-Resource Neural Machine Translation Jiatao Gu Yong Wang Yun Chen Kyunghyun Cho Victor O.K. Li 74 343 0 25 Aug 2018
On First-Order Meta-Learning Algorithms Alex Nichol Joshua Achiam John Schulman 230 2,232 0 08 Mar 2018
Building machines that adapt and compute like brains Brenden M. Lake J. Tenenbaum AI4CE FedML NAI AILaw 320 887 0 11 Nov 2017
Meta-QSAR: a large-scale application of meta-learning to drug design and discovery I. Olier Noureddin M. Sadawi G. R. Bickerton Joaquin Vanschoren C. Grosan Larisa B. Soldatova Ross King 39 76 0 12 Sep 2017
Neural Message Passing for Quantum Chemistry Justin Gilmer S. Schoenholz Patrick F. Riley Oriol Vinyals George E. Dahl 593 7,455 0 04 Apr 2017
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 823 11,909 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 335 1,827 0 02 Mar 2017
Fast and Accurate Modeling of Molecular Atomization Energies with Machine Learning M. Rupp A. Tkatchenko K. Müller O. A. von Lilienfeld AI4CE 182 1,590 0 12 Sep 2011