I am thinking of applying Graph Neural Network (GNN) for anomaly detection. It seems that at the moment the best technique so far is BWGNN that's originally proposed here [1].
Another question is that you claimed querying SQL as graph without ETL. Do you use similar technique to associative array mathematics proposed by D4M or other techniques [2].
[1] "Rethinking Graph Neural Networks for Anomaly Detection" in ICML 2022:
Thank you so much for liking our blog! This is Zhenni, cofounder of PuppyGraph. Happy to answer any questions.
I am thinking of applying Graph Neural Network (GNN) for anomaly detection. It seems that at the moment the best technique so far is BWGNN that's originally proposed here [1].
Another question is that you claimed querying SQL as graph without ETL. Do you use similar technique to associative array mathematics proposed by D4M or other techniques [2].
[1] "Rethinking Graph Neural Networks for Anomaly Detection" in ICML 2022:
https://github.com/squareRoot3/Rethinking-Anomaly-Detection
[2] D4M: Dynamic Distributed Dimensional Data Model:
https://d4m.mit.edu/
Thank you so much! Really insightful. I think we can definitely integrate these into PuppyGraph.