Estimating fund-raising performance for start-up projects from a market graph perspective

作者：

Highlights：

• highlights

• Modeling the market evolution for start-up projects via a graph-based model.

• Modeling the competitiveness pressure by aggregating funding states of rivals.

• Propagation tree structure with hierarchical updating can track the market evolution.

• The proposed model achieved the best result compared with all powerful baselines.

摘要

highlights•Modeling the market evolution for start-up projects via a graph-based model.•Modeling the competitiveness pressure by aggregating funding states of rivals.•Propagation tree structure with hierarchical updating can track the market evolution.•The proposed model achieved the best result compared with all powerful baselines.

论文关键词：Crowdfunding,Market environment modeling,Graph neural network

论文评审过程：Received 17 December 2020, Revised 17 April 2021, Accepted 16 May 2021, Available online 24 July 2021, Version of Record 1 August 2021.

论文官网地址：https://doi.org/10.1016/j.patcog.2021.108204