ML Anthology

CrysGNN: Distilling Pre-Trained Knowledge to Enhance Property Prediction for Crystalline Materials

Kishalay Das, Bidisha Samanta, Pawan Goyal, Seung-Cheol Lee, Satadeep Bhattacharjee, Niloy Ganguly
AAAI 2023 pp. 7323-7331
doi:10.1609/AAAI.V37I6.25892 /aaai/2023/das2023aaai-crysgnn/
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Cite

Text

Das et al. "CrysGNN: Distilling Pre-Trained Knowledge to Enhance Property Prediction for Crystalline Materials." AAAI Conference on Artificial Intelligence, 2023. doi:10.1609/AAAI.V37I6.25892

Markdown

[Das et al. "CrysGNN: Distilling Pre-Trained Knowledge to Enhance Property Prediction for Crystalline Materials." AAAI Conference on Artificial Intelligence, 2023.](https://mlanthology.org/aaai/2023/das2023aaai-crysgnn/) doi:10.1609/AAAI.V37I6.25892

BibTeX

@inproceedings{das2023aaai-crysgnn,
  title     = {{CrysGNN: Distilling Pre-Trained Knowledge to Enhance Property Prediction for Crystalline Materials}},
  author    = {Das, Kishalay and Samanta, Bidisha and Goyal, Pawan and Lee, Seung-Cheol and Bhattacharjee, Satadeep and Ganguly, Niloy},
  booktitle = {AAAI Conference on Artificial Intelligence},
  year      = {2023},
  pages     = {7323-7331},
  doi       = {10.1609/AAAI.V37I6.25892},
  url       = {https://mlanthology.org/aaai/2023/das2023aaai-crysgnn/}
}