CrysGNN : Distilling pre-trained knowledge to enhance property
prediction for crystalline materials

CrysGNN : Distilling pre-trained knowledge to enhance property prediction for crystalline materials

AAAI Conference on Artificial Intelligence (AAAI), 2023

14 January 2023

Bidisha Samanta

Seung-Cheol Lee

S. Bhattacharjee

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Papers citing "CrysGNN : Distilling pre-trained knowledge to enhance property prediction for crystalline materials"

7 / 7 papers shown

Title
LLM Meets Diffusion: A Hybrid Framework for Crystal Material Generation Subhojyoti Khastagir Kishalay Das Pawan Goyal Seung-Cheol Lee S. Bhattacharjee Niloy Ganguly 100 1 0 27 Oct 2025
Siamese Foundation Models for Crystal Structure Prediction Liming Wu Wenbing Huang Rui Jiao Jianxing Huang Liwei Liu ... Hao Sun Yang Liu F. Sun Yuxiang Ren J. Wen 257 5 0 13 Mar 2025
Periodic Materials Generation using Text-Guided Joint Diffusion ModelInternational Conference on Learning Representations (ICLR), 2025 Kishalay Das Subhojyoti Khastagir Pawan Goyal Seung-Cheol Lee S. Bhattacharjee Niloy Ganguly DiffM 202 9 0 01 Mar 2025
CrysAtom: Distributed Representation of Atoms for Crystal Property PredictionLOG IN (LOG IN), 2024 Shrimon Mukherjee Madhusudan Ghosh Partha Basuchowdhuri 142 2 0 07 Sep 2024
CHILI: Chemically-Informed Large-scale Inorganic Nanomaterials Dataset for Advancing Graph Machine Learning Ulrik Friis-Jensen Frederik L. Johansen A. Anker Erik B. Dam Kirsten M. Ø. Jensen Raghavendra Selvan AI4CE 337 5 0 20 Feb 2024
M $^2$ Hub: Unlocking the Potential of Machine Learning for Materials DiscoveryNeural Information Processing Systems (NeurIPS), 2023 Yuanqi Du Yingheng Wang Yin-Hua Huang Jianan Canal Li Yanqiao Zhu T. Xie Chenru Duan J. Gregoire Daniel Schwalbe-Koda 163 11 0 14 Jun 2023
CrysMMNet: Multimodal Representation for Crystal Property PredictionConference on Uncertainty in Artificial Intelligence (UAI), 2023 Kishalay Das Pawan Goyal Seung-Cheol Lee S. Bhattacharjee Niloy Ganguly 108 21 0 09 Jun 2023