awesome-graph-classification VS euler

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

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awesome-graph-classification euler
1 2
4,698 2,875
- 0.1%
1.0 0.0
about 1 year ago 9 months ago
Python C++
Creative Commons Zero v1.0 Universal Apache License 2.0
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.

euler

Posts with mentions or reviews of euler. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-03-17.

What are some alternatives?

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

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

GraphScope - 🔨 🍇 💻 🚀 GraphScope: A One-Stop Large-Scale Graph Computing System from Alibaba | 一站式图计算系统

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)

libgrape-lite - 🍇 A C++ library for parallel graph processing (GRAPE) 🍇

karateclub - Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs (CIKM 2020)

libvineyard - vineyard (v6d): an in-memory immutable data manager. [Moved to: https://github.com/alibaba/v6d]

GraphGPS - Recipe for a General, Powerful, Scalable Graph Transformer

efficient-gnns - Code and resources on scalable and efficient Graph Neural Networks

vg - tools for working with genome variation graphs

GNNs-Recipe - 🟠 A study guide to learn about Graph Neural Networks (GNNs)