Attention-based graph neural networks: a survey
arXiv 2605.08679•4ba95ce959571b5f3103915eca520de3702dbb979e81c648881cae4d5f8e7e4b
LLMadversarial-aiattentionattributionbenchmarkbioinformaticscausal-inferencecreator-economydigital-twinfront-doorgraph-generationgraph-neural-networksgraph-transformermodel-safetyneuron-editingnode-insertionrecommender-systemsself-debiasingsurveysynthetic-networksvisualization
Paper metadata
- arXiv ID
- 2605.08679
- Version
- Not specified by this published record
- Category
- Computer Science — Social and Information Networks (cs.SI)
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Evidence and limitations
- Source ID
- arxiv_cs_si
- Record identifier
- 4ba95ce959571b5f3103915eca520de3702dbb979e81c648881cae4d5f8e7e4b
- Enrichment time
- 2026-05-12T08:52:13Z
- AI-assisted enrichment
- Yes
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