Asignalingscheme 2 is -persuasive, namely 2 (µ?), if max Formally: Lemma 5.Iftheevent E holds, then, foreveryroundt> N, itholdsthat ? 2 N(bµt) and

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.

Low-dimensional embeddings, from classical spectral embeddings to modern neural-net-inspired methods, are a cornerstone in the modeling and analysis of complex networks. Recent work by Seshadhri et al. (PNAS 2020) suggests that such embeddings cannot capture local structure arising in complex networks.

Recent research shows its great potential by preparing and learning from large-scale synthetic datasets.