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SEIGN: A Simple and Efficient Graph Neural Network for Large Dynamic Graphs

Research article (2023 IEEE 39th International Conference on Data Engineering (ICDE), 2023) · cited 14× · AI/ML
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SEIGN: A Simple and Efficient Graph Neural Network for Large Dynamic Graphs

Summary

SEIGN: A Simple and Efficient Graph Neural Network for Large Dynamic Graphs is a scholarly article[1].

Key Facts

  • SEIGN: A Simple and Efficient Graph Neural Network for Large Dynamic Graphs'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). SEIGN: A Simple and Efficient Graph Neural Network for Large Dynamic Graphs. Retrieved May 24, 2026, from https://4ort.xyz/entity/seign-a-simple-and-efficient-graph-neural-network-for-large-dynamic-graphs
MLA “SEIGN: A Simple and Efficient Graph Neural Network for Large Dynamic Graphs.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/seign-a-simple-and-efficient-graph-neural-network-for-large-dynamic-graphs.
BibTeX @misc{4ortxyz_seign-a-simple-and-efficient-graph-neural-network-for-large-dynamic-graphs_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{SEIGN: A Simple and Efficient Graph Neural Network for Large Dynamic Graphs}}, year = {2026}, url = {https://4ort.xyz/entity/seign-a-simple-and-efficient-graph-neural-network-for-large-dynamic-graphs}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): SEIGN: A Simple and Efficient Graph Neural Network for Large Dynamic Graphs — https://4ort.xyz/entity/seign-a-simple-and-efficient-graph-neural-network-for-large-dynamic-graphs (retrieved 2026-05-24)

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