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Found 7 papers, 2 papers with code
Gaia: Graph Neural Network with Temporal Shift aware Attention for Gross Merchandise Value Forecast in E-commerce
E-commerce has gone a long way in empowering merchants through the internet.
Explored An Effective Methodology for Fine-Grained Snake Recognition
Then, in order to take full advantage of unlabeled datasets, we use self-supervised learning and supervised learning joint training to provide pre-trained model.
Intelligent Credit Limit Management in Consumer Loans Based on Causal Inference
Based on these testing data, a response model is then built to measure the heterogeneous treatment effect of increasing credit limits (i. e. treatments) for different customers, who are depicted by several control variables (i. e. features).
Large-scale Uncertainty Estimation and Its Application in Revenue Forecast of SMEs
If the uncertainty of an enterprise's revenue forecasting can be estimated, a more proper credit limit can be granted.
NetDP: An Industrial-Scale Distributed Network Representation Framework for Default Prediction in Ant Credit Pay
Considering the above challenges and the special scenario in Ant Financial, we try to incorporate default prediction with network information to alleviate the cold-start problem.
A Semi-supervised Graph Attentive Network for Financial Fraud Detection
Additionally, among the network, only very few of the users are labelled, which also poses a great challenge for only utilizing labeled data to achieve a satisfied performance on fraud detection.
Deep Interaction Processes for Time-Evolving Graphs
To model the dependency between latent dynamic representations of each node, we define a mixture of temporal cascades in which a node's neural representation depends on not only this node's previous representations but also the previous representations of related nodes that have interacted with this node.
