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FeatureNorm: L2 Feature Normalization for Dynamic Graph Embedding

Research article (2020 IEEE International Conference on Data Mining (ICDM), 2020) · cited 28× · AI/ML
academia openalex:W3127180058
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FeatureNorm: L2 Feature Normalization for Dynamic Graph Embedding

Summary

FeatureNorm: L2 Feature Normalization for Dynamic Graph Embedding is a scholarly article[1].

Key Facts

  • FeatureNorm: L2 Feature Normalization for Dynamic Graph Embedding's instance of is recorded as scholarly article[2].

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

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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). FeatureNorm: L2 Feature Normalization for Dynamic Graph Embedding. Retrieved May 24, 2026, from https://4ort.xyz/entity/featurenorm-l2-feature-normalization-for-dynamic-graph-embedding
MLA “FeatureNorm: L2 Feature Normalization for Dynamic Graph Embedding.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/featurenorm-l2-feature-normalization-for-dynamic-graph-embedding.
BibTeX @misc{4ortxyz_featurenorm-l2-feature-normalization-for-dynamic-graph-embedding_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{FeatureNorm: L2 Feature Normalization for Dynamic Graph Embedding}}, year = {2026}, url = {https://4ort.xyz/entity/featurenorm-l2-feature-normalization-for-dynamic-graph-embedding}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): FeatureNorm: L2 Feature Normalization for Dynamic Graph Embedding — https://4ort.xyz/entity/featurenorm-l2-feature-normalization-for-dynamic-graph-embedding (retrieved 2026-05-24)

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