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Found 3 papers, 2 papers with code
Temporal Graph Networks for Graph Anomaly Detection in Financial Networks
This paper explores the utilization of Temporal Graph Networks (TGN) for financial anomaly detection, a pressing need in the era of fintech and digitized financial transactions.
Classification of Edge-dependent Labels of Nodes in Hypergraphs
Interestingly, many real-world systems modeled as hypergraphs contain edge-dependent node labels, i. e., node labels that vary depending on hyperedges.
Pretraining Neural Architecture Search Controllers with Locality-based Self-Supervised Learning
Neural architecture search (NAS) has fostered various fields of machine learning.
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