▬▬ Papers ▬▬▬▬▬▬▬▬▬▬▬▬▬
GNN Survey: https://arxiv.org/pdf/2106.07178.pdf
DOMINANT: https://epubs.siam.org/doi/abs/10.1137/1.9781611975673.67
StrGNN: https://arxiv.org/pdf/2005.07427.pdf
xFraud: https://arxiv.org/pdf/2011.12193.pdf
Github Paper List: https://github.com/safe-graph/graph-fraud-detection-papers

▬▬ Referenced Videos ▬▬▬▬▬▬▬▬
Spatio-Temporal GNNs: https://youtu.be/WEWq93tioC4
Explainable AI on Graphs: https://youtu.be/NvDM2j8Jgvk
Graph Transformer: https://youtu.be/m4Vma8Nkj70

▬▬ Used Music ▬▬▬▬▬▬▬▬▬▬▬
Music from Uppbeat (free for Creators!):
https://uppbeat.io/t/yeti-music/mystery-theater
License code: JDSIDP1BM8GZGN67

▬▬ Used Icons ▬▬▬▬▬▬▬▬▬▬▬
Alle icons are from https://www.flaticon.com/
by the producers Freepik, Smashicons, Becris, Eucalyp, surang, Flat Icons.

▬▬ Timestamps ▬▬▬▬▬▬▬▬▬▬▬
00:00 Introduction
00:30 Typical Frauds in Networks
01:18 Survey on graph-based fraud detection
01:31 Traditional approaches vs GNN approaches
02:57 Camouflaged frauds
04:02 Building a fraud detection GNN
06:25 Fraud detection GNN papers
10:54 Please vote for next video

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