SpectralEmbeddings
spectralembeddings 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. (by abhilash1910)
awesome-graph-classification
A collection of important graph embedding, classification and representation learning papers with implementations. (by benedekrozemberczki)
| SpectralEmbeddings | awesome-graph-classification | |
|---|---|---|
| 1 | 1 | |
| 62 | 4,698 | |
| - | - | |
| 2.6 | 1.0 | |
| over 2 years ago | about 1 year ago | |
| HTML | Python | |
| GNU General Public License v3.0 or later | Creative Commons Zero v1.0 Universal |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
SpectralEmbeddings
Posts with mentions or reviews of SpectralEmbeddings.
We have used some of these posts to build our list of alternatives
and similar projects.
awesome-graph-classification
Posts with mentions or reviews of awesome-graph-classification.
We have used some of these posts to build our list of alternatives
and similar projects.
What are some alternatives?
When comparing SpectralEmbeddings and awesome-graph-classification you can also consider the following projects:
gpt-mini - Yet another minimalistic Tensorflow (re-)re-implementation of Karpathy's Pytorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer).
pytorch_geometric_temporal - PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models (CIKM 2021)
euler - A distributed graph deep learning framework.
PDN - The official PyTorch implementation of "Pathfinder Discovery Networks for Neural Message Passing" (WebConf '21)
GAT - Graph Attention Networks (https://arxiv.org/abs/1710.10903)
karateclub - Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs (CIKM 2020)
GraphGPS - Recipe for a General, Powerful, Scalable Graph Transformer