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

Research article (Proceedings of the AAAI Conference on Artificial Intelligence, 2023) · cited 13× · AI/ML
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CrysGNN: Distilling Pre-trained Knowledge to Enhance Property Prediction for Crystalline Materials

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CrysGNN: Distilling Pre-trained Knowledge to Enhance Property Prediction for Crystalline Materials is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). CrysGNN: Distilling Pre-trained Knowledge to Enhance Property Prediction for Crystalline Materials. Retrieved May 24, 2026, from https://4ort.xyz/entity/crysgnn-distilling-pre-trained-knowledge-to-enhance-property-prediction-for-crystalline-materials
MLA “CrysGNN: Distilling Pre-trained Knowledge to Enhance Property Prediction for Crystalline Materials.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/crysgnn-distilling-pre-trained-knowledge-to-enhance-property-prediction-for-crystalline-materials.
BibTeX @misc{4ortxyz_crysgnn-distilling-pre-trained-knowledge-to-enhance-property-prediction-for-crystalline-materials_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{CrysGNN: Distilling Pre-trained Knowledge to Enhance Property Prediction for Crystalline Materials}}, year = {2026}, url = {https://4ort.xyz/entity/crysgnn-distilling-pre-trained-knowledge-to-enhance-property-prediction-for-crystalline-materials}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): CrysGNN: Distilling Pre-trained Knowledge to Enhance Property Prediction for Crystalline Materials — https://4ort.xyz/entity/crysgnn-distilling-pre-trained-knowledge-to-enhance-property-prediction-for-crystalline-materials (retrieved 2026-05-24)

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