GoSage: heterogeneous graph neural network using hierarchical attention for collusion fraud detection. In: Proceedings of the 4th ACM International Conference on AI in Finance. 2023, 185–192 Chapter MATH Google Scholar Wang L, Li P, Xiong K, Zhao J, Lin R. Modeling heterogeneous graph ...
Fraud detection is a set of processes and analyses that allow firms to identify and prevent unauthorized activity. It has become one of the major challenges for most organizations, particularly those in banking, finance, retail, and e-commerce. Any kind of fraud negatively affects ...
Graph neural networkThere is extensive literature dating back to the Markowitz model on portfolio optimization. Recently, with the introduction of deep models in finance, there has been a shift in the trend of portfolio optimization toward data-driven models, departing from the traditional model-...
Graph neural network (GNN) is effective in modeling high-order interactions and has been widely used in various personalized applications such as recommendation. However, mainstream personalization methods rely on centralized GNN learning on global graph
However, existing approaches either overlook the inherent permutation symmetry in the neural network or rely on intricate weight-sharing patterns to achieve equivariance, while ignoring the impact of the network architecture itself. In this work, we propose to represent neural networks as computational ...
Graph-based methods have the advantage of representing non-Euclidean graph structures, which are universally seen in a wide range of systems and applications, e.g., industrial and control systems, finance, transportation, communication networks, electronic commerce applications, etc. For example, a ...
It opens up new avenues for the predictive analysis of time series data across different sectors such as finance, weather forecasting, energy management, and beyond. As the model continues to evolve, it is poised to become an even more indispensable tool for analysts and decision-makers facing ...
In a paper presented at the3rd ACM International Conference on AI in Finance, the team at Feedzai introduced LaundroGraph, a self-supervised model that could simplify the cumbersome process of reviewing large amounts of financial interactions looking forsuspicious transactionsor monetary exchanges. Thei...
In: Proceedings of the Third ACM International Conference on AI in Finance, pp. 130–138 (2022) Velickovic, P., Fedus, W., Hamilton, W.L., Liò, P., Bengio, Y., Hjelm, R.D.: Deep graph infomax. In: 7th International Conference on Learning Representations, ICLR 2019, New Orleans,...
In terms of deployment, the on-premise segment dominated the market in 2022 with the largest revenue share over 58.0%. Concerns around data security and privacy often lead organizations, particularly in highly regulated industries like finance and healthcare, to opt for on-premise solutions where ...