awesome-graph-classification VS PDN

Compare awesome-graph-classification vs PDN and see what are their differences.

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awesome-graph-classification PDN
1 1
4,698 57
- -
1.0 0.0
about 1 year ago over 1 year ago
Python Python
Creative Commons Zero v1.0 Universal GNU General Public License v3.0 only
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.

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.

PDN

Posts with mentions or reviews of PDN. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing awesome-graph-classification and PDN you can also consider the following projects:

pytorch_geometric_temporal - PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models (CIKM 2021)

gnn - TensorFlow GNN is a library to build Graph Neural Networks on the TensorFlow platform.

euler - A distributed graph deep learning framework.

pytorch-lightning - Build high-performance AI models with PyTorch Lightning (organized PyTorch). Deploy models with Lightning Apps (organized Python to build end-to-end ML systems). [Moved to: https://github.com/Lightning-AI/lightning]

GAT - Graph Attention Networks (https://arxiv.org/abs/1710.10903)

gnn-lspe - Source code for GNN-LSPE (Graph Neural Networks with Learnable Structural and Positional Representations), ICLR 2022

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

best-of-ml-python - 🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.

awesome-drug-pair-scoring - Readings for "A Unified View of Relational Deep Learning for Drug Pair Scoring." (IJCAI 2022)