euler VS awesome-graph-classification

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

euler

A distributed graph deep learning framework. (by alibaba)
Graph graph-learning network-embedding Deep Learning graph-convolutional-networks graph-neural-networks graphsage random-walk Node2vec graph-embedding Gcn ggnn
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awesome-graph-classification

A collection of important graph embedding, classification and representation learning papers with implementations. (by benedekrozemberczki)
Graph2vec classification-algorithm graph-kernels weisfeiler-lehman kernel-methods deep-graph-kernels netlsd graph-attention-model graph-attention-networks structural-attention attention-mechanism graph-kernel Node2vec graph-embedding network-embedding node-embedding graph-representation-learning Deepwalk graph-convolutional-networks graph-classification
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euler awesome-graph-classification
2 1
2,873 4,698
0.2% -
0.0 1.0
8 months ago about 1 year ago
C++ Python
Apache License 2.0 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.
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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.

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.

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

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

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

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

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)

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

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

vg - tools for working with genome variation graphs

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

euler vs GraphScope awesome-graph-classification vs pytorch_geometric_temporal euler vs libgrape-lite awesome-graph-classification vs PDN euler vs pytorch_geometric_temporal awesome-graph-classification vs GAT euler vs efficient-gnns awesome-graph-classification vs karateclub euler vs libvineyard awesome-graph-classification vs GraphGPS euler vs vg euler vs GNNs-Recipe