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Found 4 papers, 1 papers with code
Investigating Extensions to Random Walk Based Graph Embedding
Graph embedding has recently gained momentum in the research community, in particular after the introduction of random walk and neural network based approaches.
Global and Local Feature Learning for Ego-Network Analysis
This social network can be efficiently analyzed after learning representations of the ego and its alters in a low-dimensional, real vector space.
Predicting event attendance exploring social influence
In this paper, we propose to model the social influence of friends on event attendance.
Shortest path distance approximation using deep learning techniques
Computing shortest path distances between nodes lies at the heart of many graph algorithms and applications.
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