HyperAI超神经

首页算力平台文档资讯论文教程数据集百科 SOTA LLM 模型天梯 GPU 天梯顶会

中文

HyperAI超神经

Formation Energy On Materials Project

评估指标

MAE

评测结果

各个模型在此基准测试上的表现结果

		Paper Title	Repository
MT-CGCNN	41	MT-CGCNN: Integrating Crystal Graph Convolutional Neural Network with Multitask Learning for Material Property Prediction
CGCNN	39	Crystal Graph Convolutional Neural Networks for an Accurate and Interpretable Prediction of Material Properties
SchNet	35	SchNet - a deep learning architecture for molecules and materials
SchNet	31.8	Neural Message Passing with Edge Updates for Predicting Properties of Molecules and Materials
MEGNet	28	Graph Networks as a Universal Machine Learning Framework for Molecules and Crystals
SchNet-edge-update	22.7	Neural Message Passing with Edge Updates for Predicting Properties of Molecules and Materials
Matformer	21.2	Periodic Graph Transformers for Crystal Material Property Prediction
PotNet	18.8	Efficient Approximations of Complete Interatomic Potentials for Crystal Property Prediction
CartNet	17.47	A Cartesian Encoding Graph Neural Network for Crystal Structures Property Prediction: Application to Thermal Ellipsoid Estimation

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Formation Energy On Materials Project | SOTA | HyperAI超神经