Estimating Early Fundraising Performance of Innovations via Graph-based
Market Environment Model

Estimating Early Fundraising Performance of Innovations via Graph-based Market Environment Model

14 December 2019

Qi Liu

Enhong Chen

Papers citing "Estimating Early Fundraising Performance of Innovations via Graph-based Market Environment Model"

4 / 4 papers shown

Title
GUESR: A Global Unsupervised Data-Enhancement with Bucket-Cluster Sampling for Sequential Recommendation Yongqiang Han Likang Wu Hao Wang Guifeng Wang Mengdi Zhang Zhi Li Defu Lian Enhong Chen 40 24 0 01 Mar 2023
Estimating Fund-Raising Performance for Start-up Projects from a Market Graph Perspective Likang Wu Zhi Li Hongke Zhao Qi Liu Enhong Chen 36 16 0 27 May 2021
ASGN: An Active Semi-supervised Graph Neural Network for Molecular Property Prediction Zhong Hao Chengqiang Lu Zheyuan Hu Hongya Wang Zhenya Huang Qi Liu Enhong Chen Cheekong Lee 27 137 0 07 Jul 2020
Geometric deep learning: going beyond Euclidean data M. Bronstein Joan Bruna Yann LeCun Arthur Szlam P. Vandergheynst GNN 261 3,243 0 24 Nov 2016