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.
APA4ort.xyz Knowledge Graph. (2026). Tackling Long-Tailed Distribution Issue in Graph Neural Networks via Normalization. Retrieved May 24, 2026, from https://4ort.xyz/entity/tackling-long-tailed-distribution-issue-in-graph-neural-networks-via-normalization
MLA“Tackling Long-Tailed Distribution Issue in Graph Neural Networks via Normalization.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/tackling-long-tailed-distribution-issue-in-graph-neural-networks-via-normalization.
BibTeX@misc{4ortxyz_tackling-long-tailed-distribution-issue-in-graph-neural-networks-via-normalization_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Tackling Long-Tailed Distribution Issue in Graph Neural Networks via Normalization}}, year = {2026}, url = {https://4ort.xyz/entity/tackling-long-tailed-distribution-issue-in-graph-neural-networks-via-normalization}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Tackling Long-Tailed Distribution Issue in Graph Neural Networks via Normalization — https://4ort.xyz/entity/tackling-long-tailed-distribution-issue-in-graph-neural-networks-via-normalization (retrieved 2026-05-24)