Graph Decipher: A transparent dual‐attention graph neural network to understand the message‐passing mechanism for the node classification

Research article (International Journal of Intelligent Systems, 2022) · cited 24× · AI/ML
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Graph Decipher: A transparent dual‐attention graph neural network to understand the message‐passing mechanism for the node classification

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Graph Decipher: A transparent dual‐attention graph neural network to understand the message‐passing mechanism for the node classification is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Graph Decipher: A transparent dual‐attention graph neural network to understand the message‐passing mechanism for the node classification. Retrieved May 24, 2026, from https://4ort.xyz/entity/graph-decipher-a-transparent-dualattention-graph-neural-network-to-understand-the-messagepassing-mechanism-for-the-node-
MLA “Graph Decipher: A transparent dual‐attention graph neural network to understand the message‐passing mechanism for the node classification.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/graph-decipher-a-transparent-dualattention-graph-neural-network-to-understand-the-messagepassing-mechanism-for-the-node-.
BibTeX @misc{4ortxyz_graph-decipher-a-transparent-dualattention-graph-neural-network-to-understand-the-messagepassing-mechanism-for-the-node-_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Graph Decipher: A transparent dual‐attention graph neural network to understand the message‐passing mechanism for the node classification}}, year = {2026}, url = {https://4ort.xyz/entity/graph-decipher-a-transparent-dualattention-graph-neural-network-to-understand-the-messagepassing-mechanism-for-the-node-}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Graph Decipher: A transparent dual‐attention graph neural network to understand the message‐passing mechanism for the node classification — https://4ort.xyz/entity/graph-decipher-a-transparent-dualattention-graph-neural-network-to-understand-the-messagepassing-mechanism-for-the-node- (retrieved 2026-05-24)

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