Home › Entities › academia › Federated learning of molecular properties with graph neural networks in a heterogeneous setting

Federated learning of molecular properties with graph neural networks in a heterogeneous setting

Research article (Patterns, 2022) · cited 39× · AI/ML
academia openalex:W4281924044
Press Enter · cited answer in seconds

Federated learning of molecular properties with graph neural networks in a heterogeneous setting

Summary

Federated learning of molecular properties with graph neural networks in a heterogeneous setting is a scholarly article[1].

Key Facts

  • Federated learning of molecular properties with graph neural networks in a heterogeneous setting's instance of is recorded as scholarly article[2].

Related Entities

Jiebo Luo

References

Programmatic citations — every numbered marker resolves to a verifiable graph row below.

Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

📑 Cite this page

Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.

APA 4ort.xyz Knowledge Graph. (2026). Federated learning of molecular properties with graph neural networks in a heterogeneous setting. Retrieved May 24, 2026, from https://4ort.xyz/entity/federated-learning-of-molecular-properties-with-graph-neural-networks-in-a-heterogeneous-setting
MLA “Federated learning of molecular properties with graph neural networks in a heterogeneous setting.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/federated-learning-of-molecular-properties-with-graph-neural-networks-in-a-heterogeneous-setting.
BibTeX @misc{4ortxyz_federated-learning-of-molecular-properties-with-graph-neural-networks-in-a-heterogeneous-setting_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Federated learning of molecular properties with graph neural networks in a heterogeneous setting}}, year = {2026}, url = {https://4ort.xyz/entity/federated-learning-of-molecular-properties-with-graph-neural-networks-in-a-heterogeneous-setting}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Federated learning of molecular properties with graph neural networks in a heterogeneous setting — https://4ort.xyz/entity/federated-learning-of-molecular-properties-with-graph-neural-networks-in-a-heterogeneous-setting (retrieved 2026-05-24)

Canonical URL: https://4ort.xyz/entity/federated-learning-of-molecular-properties-with-graph-neural-networks-in-a-heterogeneous-setting · Last refreshed: