Chi Wang

NetSMF: Large-Scale Network Embedding as Sparse Matrix Factorization

2019

We study the problem of large-scale network embedding, which aims to learn latent representations for network mining applications. Previous research shows that 1) popular network embedding benchmarks, such as DeepWalk, are in essence implicitly factorizing …