Accurately Modeling Biased Random Walks on Weighted Graphs Using $\textit{Node2vec+}$

15 September 2021

Papers citing "Accurately Modeling Biased Random Walks on Weighted Graphs Using $\textit{Node2vec+}$"

6 / 6 papers shown

Title
Edge Ranking of Graphs in Transportation Networks using a Graph Neural Network (GNN) D. Jana Sven Malama S. Narasimhan E. Taciroğlu GNN 31 3 0 25 Mar 2023
Designing weighted and multiplex networks for deep learning user geolocation in Twitter Federico M. Funes José Ignacio Alvarez-Hamelin M. G. Beiró GNN 28 1 0 13 Dec 2021
Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges M. Bronstein Joan Bruna Taco S. Cohen Petar Velivcković GNN 176 1,121 0 27 Apr 2021
Het-node2vec: second order random walk sampling for heterogeneous multigraphs embedding Giorgio Valentini E. Casiraghi L. Cappelletti Tommaso Fontana Justin P Reese Peter N. Robinson 27 7 0 05 Jan 2021
Benchmarking Graph Neural Networks Vijay Prakash Dwivedi Chaitanya K. Joshi Anh Tuan Luu T. Laurent Yoshua Bengio Xavier Bresson 189 922 0 02 Mar 2020
Efficient Estimation of Word Representations in Vector Space Tomas Mikolov Kai Chen G. Corrado J. Dean 3DV 322 31,297 0 16 Jan 2013