A Framework for Generalizing Graph-based Representation Learning Methods

A Framework for Generalizing Graph-based Representation Learning Methods

14 September 2017

Ryan A. Rossi

Theodore L. Willke

ArXiv (abs)PDF HTML

Papers citing "A Framework for Generalizing Graph-based Representation Learning Methods"

7 / 7 papers shown

Title
On Proximity and Structural Role-based Embeddings in Networks: Misconceptions, Techniques, and Applications Ryan A. Rossi Di Jin Sungchul Kim Nesreen Ahmed Danai Koutra J. B. Lee 65 38 0 22 Aug 2019
Dynamic Node Embeddings from Edge Streams J. B. Lee G. Nguyen Ryan A. Rossi Nesreen Ahmed Eunyee Koh Sungchul Kim AI4TS 55 6 0 12 Apr 2019
Micro- and Macro-Level Churn Analysis of Large-Scale Mobile Games Xi Liu Muhe Xie Xidao Wen Rui Chen Yong Ge N. Duffield Na Wang 50 20 0 14 Jan 2019
A Semi-Supervised and Inductive Embedding Model for Churn Prediction of Large-Scale Mobile Games Xi Liu Muhe Xie Xidao Wen Rui Chen Yong Ge N. Duffield Na Wang 45 43 0 20 Aug 2018
MILE: A Multi-Level Framework for Scalable Graph Embedding Jiongqian Liang Saket Gurukar Srinivas Parthasarathy GNN 86 78 0 26 Feb 2018
HONE: Higher-Order Network Embeddings Ryan A. Rossi Nesreen Ahmed Eunyee Koh Sungchul Kim Anup B. Rao Yasin Abbasi-Yadkori 98 22 0 28 Jan 2018
Inductive Representation Learning in Large Attributed Graphs Nesreen Ahmed Ryan A. Rossi R. Zhou J. B. Lee Xiangnan Kong Theodore L. Willke Hoda Eldardiry 40 4 0 25 Oct 2017