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πŸ“„ A Survey of Generalization of Graph Anomaly Detection: From Transfer Learning to Foundation Models

πŸ—“Publish year: 2025

πŸ§‘β€πŸ’»Authors: Junjun Pan, Yu Zheng, Yue Tan, Yixin Liu
🏒University: Griffith University, Australia

πŸ“Ž Study the paper

πŸ“²Channel: @Bioinformatics
#review #anomaly #transfer
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πŸ“„ A Survey of Generalization of Graph Anomaly Detection: From Transfer Learning to Foundation Models

πŸ—“Publish year: 2025

πŸ§‘β€πŸ’»Authors: Junjun Pan, Yu Zheng, Yue Tan, Yixin Liu
🏒University: Griffith University, Australia

πŸ“Ž Study the paper

πŸ“²Channel: @Bioinformatics
#review #anomaly #transfer

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On Feb. 27, however, he admitted from his Russian-language account that "Telegram channels are increasingly becoming a source of unverified information related to Ukrainian events." READ MORE Telegram boasts 500 million users, who share information individually and in groups in relative security. But Telegram's use as a one-way broadcast channel β€” which followers can join but not reply to β€” means content from inauthentic accounts can easily reach large, captive and eager audiences. It is unclear who runs the account, although Russia's official Ministry of Foreign Affairs Twitter account promoted the Telegram channel on Saturday and claimed it was operated by "a group of experts & journalists." Such instructions could actually endanger people β€” citizens receive air strike warnings via smartphone alerts.
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