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ExplaiNE: An Approach for Explaining Network Embedding-based Link Predictions

ExplaiNE: An Approach for Explaining Network Embedding-based Link Predictions

Bo Kang
Jefrey Lijffijt
T. D. Bie
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Papers citing "ExplaiNE: An Approach for Explaining Network Embedding-based Link Predictions"

4 / 4 papers shown
Title
Understanding Black-box Predictions via Influence Functions
Understanding Black-box Predictions via Influence Functions
Pang Wei Koh
Percy Liang
TDI
203
2,885
0
14 Mar 2017
node2vec: Scalable Feature Learning for Networks
node2vec: Scalable Feature Learning for Networks
Aditya Grover
J. Leskovec
186
10,863
0
03 Jul 2016
DeepWalk: Online Learning of Social Representations
DeepWalk: Online Learning of Social Representations
Bryan Perozzi
Rami Al-Rfou
Steven Skiena
HAI
254
9,789
0
26 Mar 2014
Deep Inside Convolutional Networks: Visualising Image Classification Models and Saliency Maps
Deep Inside Convolutional Networks: Visualising Image Classification Models and Saliency Maps
Karen Simonyan
Andrea Vedaldi
Andrew Zisserman
FAtt
309
7,292
0
20 Dec 2013