CrysMMNet: Multimodal Representation for Crystal Property Prediction

9 June 2023

Papers citing "CrysMMNet: Multimodal Representation for Crystal Property Prediction"

7 / 7 papers shown

Title
MatMMFuse: Multi-Modal Fusion model for Material Property Prediction Abhiroop Bhattacharya Sylvain G. Cloutier AI4CE 41 0 0 30 Apr 2025
MoMa: A Modular Deep Learning Framework for Material Property Prediction Botian Wang Y. Ouyang Yaohui Li Yansen Wang Haorui Cui Jianbing Zhang Xiaonan Wang Wei-Ying Ma Hao Zhou 49 0 0 21 Feb 2025
Periodic Graph Transformers for Crystal Material Property Prediction Keqiang Yan Yi Liu Yu-Ching Lin Shuiwang Ji AI4TS 88 84 0 23 Sep 2022
Crystal Diffusion Variational Autoencoder for Periodic Material Generation Tian Xie Xiang Fu O. Ganea Regina Barzilay Tommi Jaakkola DiffM BDL 212 232 0 12 Oct 2021
Efficient, Interpretable Graph Neural Network Representation for Angle-dependent Properties and its Application to Optical Spectroscopy Tim Hsu Tuan Anh Pham N. Keilbart Stephen E. Weitzner James Chapman Penghao Xiao Shenghao Qiu Xiao Chen B. Wood 30 3 0 23 Sep 2021
Benchmarking Graph Neural Networks Vijay Prakash Dwivedi Chaitanya K. Joshi Anh Tuan Luu T. Laurent Yoshua Bengio Xavier Bresson 189 917 0 02 Mar 2020
A disciplined approach to neural network hyper-parameters: Part 1 -- learning rate, batch size, momentum, and weight decay L. Smith 208 1,020 0 26 Mar 2018