Deep-Learning-for-Graph-Representations

This contains my M.Tech project work and codes. Data will be provided on request

Year long project on exploring Neural Networks and Deep Learning Methods for learning graph representations.

Unsupervised Methods

Deep Walk Algorithm, Modified DeepWalk, Streaming Implementation, Recursive Implementation and application to trajectory clustering, PPI etc

DFFN

Deep FeedForward Neural Networks for learning graph representation using spectral graph theory

Semi-Supervised Methods

Graph label propagation, binary image segmentation and pixel wise classification

Fully-Supervised Methods

For label prediction and representation learning

If you have any questions, please feel free to drop mail at vsuriya93@gmail.com