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Network Representation Learning: Consolidation and Renewed Bearing

Network Representation Learning: Consolidation and Renewed Bearing

2 May 2019
Saket Gurukar
Priyesh Vijayan
Aakash Srinivasan
Goonmeet Bajaj
Chen Cai
Moniba Keymanesh
Saravana Kumar
Pranav Maneriker
Anasua Mitra
Vedang Patel
Balaraman Ravindran
Srinivasan Parthasarathy
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Papers citing "Network Representation Learning: Consolidation and Renewed Bearing"

4 / 4 papers shown
Title
FairEGM: Fair Link Prediction and Recommendation via Emulated Graph
  Modification
FairEGM: Fair Link Prediction and Recommendation via Emulated Graph Modification
Sean Current
Yuntian He
Saket Gurukar
Srinivas Parthasarathy
28
13
0
27 Jan 2022
Benchmarking Network Embedding Models for Link Prediction: Are We Making
  Progress?
Benchmarking Network Embedding Models for Link Prediction: Are We Making Progress?
Alexandru Mara
Jefrey Lijffijt
T. D. Bie
43
22
0
25 Feb 2020
Systematic Biases in Link Prediction: comparing heuristic and graph
  embedding based methods
Systematic Biases in Link Prediction: comparing heuristic and graph embedding based methods
Aakash Sinha
Rémy Cazabet
Rémi Vaudaine
16
9
0
11 Oct 2018
MILE: A Multi-Level Framework for Scalable Graph Embedding
MILE: A Multi-Level Framework for Scalable Graph Embedding
Jiongqian Liang
Saket Gurukar
Srinivas Parthasarathy
GNN
22
77
0
26 Feb 2018
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