Hello there,

graph2vec proposes a technique to embed entire graph in high dimension vector space. It is inspired from doc2vec learning approach over graphs and rooted subgraphs. 🔥

It achieves significant improvements in classification and clustering accuracies over substructure representation learning approaches and are competitive with state-of-the-art graph kernels. 👾👾

Checkout Video Summary @ https://www.youtube.com/watch?v=h400_OMWNLo

More details:

Paper Title: graph2vec: Learning Distributed Representations of Graphs

Paper: https://arxiv.org/pdf/1707.05005.pdf

Author: Annamalai Narayanan, Mahinthan Chandramohan, Rajasekar Venkatesan, Lihui Chen, Yang Liu, Shantanu Jaiswal

Organisation: Nanyang Technological University, Singapore

Stay healthy, Chai Cheers!