This is the implementation of paper 'Variational Graph Auto-Encoder' in NIPS Workshop on Bayesian Deep Learning, 2016. - limaosen0/Variational-Graph-Auto-Encoders. ... GitHub Copilot Write better code ...

This is a TensorFlow implementation of the (Variational) Graph Auto-Encoder model as described in paper Variational Graph Auto-Encoders, T. N. Kipf, M. Welling, NIPS Workshop on Bayesian Deep Learning ...

Graph-Matched LDPC Codes for Partial-Response Channels Abstract: In this paper, we propose an LDPC coding scheme based on repeat-accumulate (RA) codes for partial-response (PR) channels. We modify the ...

Graph convolution networks have attracted many attentions and several graph auto-encoder based clustering models are developed for attributed graph clustering. However, most existing approaches ...

Graph based clustering plays an important role in clustering area. Recent studies about graph convolution neural networks have achieved impressive success on graph type data. However, in traditional ...

YS, KC, and CL contributed to the conception and design of the study. KC wrote the sections of the code. CL wrote the parts of the first draft ... Li A, Tu H, Chen K and Li C (2021) A Novel ...