DGNN: Decoupled Graph Neural Networks With Structural Consistency Between Attribute and Graph Embedding Representations
Summary
DGNN: Decoupled Graph Neural Networks With Structural Consistency Between Attribute and Graph Embedding Representations is a scholarly article[1].
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DGNN: Decoupled Graph Neural Networks With Structural Consistency Between Attribute and Graph Embedding Representations's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). DGNN: Decoupled Graph Neural Networks With Structural Consistency Between Attribute and Graph Embedding Representations. Retrieved May 24, 2026, from https://4ort.xyz/entity/dgnn-decoupled-graph-neural-networks-with-structural-consistency-between-attribute-and-graph-embedding-representations
MLA“DGNN: Decoupled Graph Neural Networks With Structural Consistency Between Attribute and Graph Embedding Representations.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/dgnn-decoupled-graph-neural-networks-with-structural-consistency-between-attribute-and-graph-embedding-representations.
BibTeX@misc{4ortxyz_dgnn-decoupled-graph-neural-networks-with-structural-consistency-between-attribute-and-graph-embedding-representations_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{DGNN: Decoupled Graph Neural Networks With Structural Consistency Between Attribute and Graph Embedding Representations}}, year = {2026}, url = {https://4ort.xyz/entity/dgnn-decoupled-graph-neural-networks-with-structural-consistency-between-attribute-and-graph-embedding-representations}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): DGNN: Decoupled Graph Neural Networks With Structural Consistency Between Attribute and Graph Embedding Representations — https://4ort.xyz/entity/dgnn-decoupled-graph-neural-networks-with-structural-consistency-between-attribute-and-graph-embedding-representations (retrieved 2026-05-24)
