Topic Modeling Revisited: A Document Graph-based Neural Network Perspective

Meanwhile, a Neural V ariational Inference (NVI) approach is proposed to learn our model with graph neural networks to encode the document graphs. Besides, we theoretically demonstrate that Latent Dirichlet Allocation (LDA) can be derived from GNTM as a special case with similar objective functions.