Andy Sode Anker

Search results

• 2024

  CHILI: Chemically-Informed Large-scale Inorganic Nanomaterials Dataset for Advancing Graph Machine Learning

  Friis-Jensen, U., Johansen, F. L., Anker, A. S., Dam, E. B., Jensen, K. M. Ø. & Selvan, R., 2024, Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining. Baeza-Yates, R. & Bonchi, F. (eds.). ACM, p. 4962-4973 12 p.

  Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

  Open Access

  File

  • Nanomaterial 100%
  • Nanocrystalline Material 100%
  • Nodes 40%
  • Tasks 30%
  • Crystal Structure 22%
  58 Downloads (Orbit)