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Link Prediction for Social Networks using Representation Learning and Heuristic-based Features
Here, we explore various feature extraction techniques to generate representations of nodes and edges in a social network that allow us to predict missing links.
A Novel Graph Based Clustering Approach to Document Topic Modeling
The proposed method introduces a novel graph based clustering method which uses the importance factor of a document based on a better mathematical approach than well known classical methods.
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