graph-2-text

Graph text generator

Implementing a deep learning model to generate text from graph structures

Graph to sequence implemented in Pytorch combining Graph convolutional networks and opennmt-py

GitHub

151 stars
8 watching
28 forks
Language: Python
last commit: about 7 years ago
Linked from 1 awesome list


Backlinks from these awesome lists:

Related projects:

RepositoryDescriptionStars
dmulyalin/n2gA Python library to generate diagrams in various formats from structured data157
graykode/gpt-2-pytorchAn implementation of the GPT-2 language model in PyTorch for generating text976
thomasp85/ggraphA grammar of graphics for relational data structures, extending ggplot2 to support network and graph visualization.1,080
benedekrozemberczki/sgcnAn implementation of a deep learning algorithm for graph data270
taoxugit/attnganReproduces text-to-image generation with attentional generative adversarial networks.1,343
hanzhanggit/stackganA PyTorch implementation of a generative adversarial network for image synthesis from text descriptions1,863
bupt-gamma/openhgnnAn open-source toolkit for training and applying heterogeneous graph neural networks using PyTorch and the Deep Graph Library.879
jwyang/graph-rcnn.pytorchA collection of PyTorch implementations of various scene graph generation models732
benedekrozemberczki/gamAn implementation of a graph classification model using structural attention and PyTorch270
minimaxir/aitextgenA Python package for text generation using GPT-2 and EleutherAI's models, with fine-tuning capabilities.1,843
dgleich/gaimcA collection of graph algorithms implemented in MATLAB code43
pravj/geopatternGenerates SVG image patterns from text input using pattern and color algorithms1,271
graphic-design-ai/graphistA software system that uses AI to generate graphic compositions from unordered sets of design elements102
morph-kgc/morph-kgcGenerates RDF knowledge graphs from diverse data sources using standardized mapping languages and optimized algorithms195
benedekrozemberczki/attentionwalkAn implementation of a deep learning algorithm to generate node embeddings in graphs322