ResearchTrend.AI
A Heterogeneous Dynamical Graph Neural Networks Approach to Quantify Scientific Impact

A Heterogeneous Dynamical Graph Neural Networks Approach to Quantify Scientific Impact

Fan Zhou
Xovee Xu
Ce Li
Goce Trajcevski
Ting Zhong
Kunpeng Zhang
ArXivPDFHTML

Papers citing "A Heterogeneous Dynamical Graph Neural Networks Approach to Quantify Scientific Impact"

2 / 2 papers shown
Title
Dynamic Graph Convolutional Networks
Dynamic Graph Convolutional Networks
Franco Manessi
A. Rozza
M. Manzo
GNN
64
368
0
20 Apr 2017
Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling
Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling
Junyoung Chung
Çağlar Gülçehre
Kyunghyun Cho
Yoshua Bengio
275
12,662
0
11 Dec 2014