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A Heterogeneous Dynamical Graph Neural Networks Approach to Quantify
  Scientific Impact

A Heterogeneous Dynamical Graph Neural Networks Approach to Quantify Scientific Impact

26 March 2020
Fan Zhou
Xovee Xu
Ce Li
Goce Trajcevski
Ting Zhong
Kunpeng Zhang
ArXiv (abs)PDFHTML

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

4 / 4 papers shown
A Comprehensive Survey of Dynamic Graph Neural Networks: Models,
  Frameworks, Benchmarks, Experiments and Challenges
A Comprehensive Survey of Dynamic Graph Neural Networks: Models, Frameworks, Benchmarks, Experiments and Challenges
ZhengZhao Feng
Rui Wang
TianXing Wang
Mingli Song
Sai Wu
Shuibing He
AI4CE
364
47
0
01 May 2024
BotDGT: Dynamicity-aware Social Bot Detection with Dynamic Graph
  Transformers
BotDGT: Dynamicity-aware Social Bot Detection with Dynamic Graph Transformers
Buyun He
Yingguang Yang
Qi Wu
Hao Liu
Renyu Yang
Hao Peng
Xiang Wang
Yong Liao
P. Zhou
206
29
0
23 Apr 2024
Dynamic Graph Representation Learning with Neural Networks: A Survey
Dynamic Graph Representation Learning with Neural Networks: A SurveyIEEE Access (IEEE Access), 2023
Leshanshui Yang
Sébastien Adam
Clément Chatelain
AI4TSAI4CE
247
40
0
12 Apr 2023
Foundations and modelling of dynamic networks using Dynamic Graph Neural
  Networks: A survey
Foundations and modelling of dynamic networks using Dynamic Graph Neural Networks: A survey
Joakim Skarding
Bogdan Gabrys
Katarzyna Musial
AI4CE
400
315
0
13 May 2020
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