fork from https://github.com/shenweichen/GraphEmbedding
use the sparse input to make the SDNE to apply on big graph with 10+ G
- use the csr matrix to represent the graph matrix
- use the batch generate ndarray from the cvr matrix to train
- delete unnecessary variable