133 skills found · Page 1 of 5
vgteam / Vgtools for working with genome variation graphs
wengong-jin / Icml18 JtnnJunction Tree Variational Autoencoder for Molecular Graph Generation (ICML 2018)
DaehanKim / Vgae PytorchThis repository implements variational graph auto encoder by Thomas Kipf.
microsoft / Constrained Graph Variational AutoencoderSample code for Constrained Graph Variational Autoencoders
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pangenome / Seqwishalignment to variation graph inducer
muhanzhang / D VAED-VAE: A Variational Autoencoder for Directed Acyclic Graphs, NeurIPS 2019
VGraphRNN / VGRNNVariational Graph Recurrent Neural Networks - PyTorch
limaosen0 / Variational Graph Auto EncodersThis is the implementation of paper 'Variational Graph Auto-Encoder' in NIPS Workshop on Bayesian Deep Learning, 2016.
InB4DevOps / Bitrate ViewerPlots a graph showing the variation of the bitrate throughout your video.
abhilash1910 / SpectralEmbeddingsspectralembeddings is a python library which is used to generate node embeddings from Knowledge graphs using GCN kernels and Graph Autoencoders. Variations include VanillaGCN,ChebyshevGCN and Spline GCN along with SDNe based Graph Autoencoder.
pangenome / Smoothxglinearize and simplify variation graphs using blocked partial order alignment
KelestZ / CondGenConditional Structure Generation through Graph Variational Generative Adversarial Nets, NeurIPS 2019.
Bibyutatsu / FastJTNNpy3AI for discovering 100% valid drug like molecules, a combination of VAE-JTNN and bayesian optimization, an optimized Python 3 Version of Junction Tree Variational Autoencoder for Molecular Graph Generation (ICML 2018)
ngoc-nguyen-0 / DGGLinxiao Yang, Ngai-Man Cheung, Jiaying Li, and Jun Fang, "Deep Clustering by Gaussian Mixture Variational Autoencoders with Graph Embedding", In ICCV 2019.
HaploKit / VechatCorrecting errors in noisy long reads using variation graphs
MoinSebi / GretlStatistics and analysis for variation graphs
valdersoul / GraphBTMCode for paper "GraphBTM: Graph Enhanced Autoencoded Variational Inference for Biterm Topic Model". Under preparation.
jrwnter / PigvaeImplementation of the Paper "Permutation-Invariant Variational Autoencoder for Graph-Level Representation Learning" by Robin Winter, Frank Noe and Djork-Arne Clevert.
ecust-hc / ScaffoldGVAEScaffoldGVAE: A Variational Autoencoder Based on Multi-View Graph Neural Networks for Scaffold Generation and Scaffold Hopping of Drug Molecules
