Graph Neural Networks: a bibliometrics overview

3 January 2022

Papers citing "Graph Neural Networks: a bibliometrics overview"

8 / 8 papers shown

Title
GNN Applied to Ego-nets for Friend Suggestions Evgeny Zamyatin GNN 80 0 0 16 Dec 2024
Graph Neural Ordinary Differential Equations-based method for Collaborative Filtering Ke Xu Yuanjie Zhu Weizhi Zhang Philip S. Yu BDL GNN 21 4 0 21 Nov 2023
Using ChatGPT as a Static Application Security Testing Tool Atieh Bakhshandeh Abdalsamad Keramatfar Amir Norouzi Mohammad Mahdi Chekidehkhoun 27 13 0 28 Aug 2023
Examining the Effects of Degree Distribution and Homophily in Graph Learning Models Mustafa Yasir John Palowitch Anton Tsitsulin Long Tran-Thanh Bryan Perozzi 16 6 0 17 Jul 2023
Multi-view graph structure learning using subspace merging on Grassmann manifold Razieh Ghiasi Hossein Amirkhani A. Bosaghzadeh 10 1 0 11 Apr 2022
Graph Convolutional Policy Network for Goal-Directed Molecular Graph Generation Jiaxuan You Bowen Liu Rex Ying Vijay S. Pande J. Leskovec GNN 203 885 0 07 Jun 2018
Geometric deep learning on graphs and manifolds using mixture model CNNs Federico Monti Davide Boscaini Jonathan Masci Emanuele Rodolà Jan Svoboda M. Bronstein GNN 251 1,811 0 25 Nov 2016
Geometric deep learning: going beyond Euclidean data M. Bronstein Joan Bruna Yann LeCun Arthur Szlam P. Vandergheynst GNN 250 3,236 0 24 Nov 2016