simulacrum VS euler

Compare simulacrum vs euler and see what are their differences.

simulacrum

A framework for procedural content generation with C++20 (by josiest)
random-walk procedural-content-generation
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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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simulacrum euler
1 2
0 2,875
- 0.1%
0.0 0.0
over 1 year ago 9 months ago
C++ C++
MIT License 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.

simulacrum

Posts with mentions or reviews of simulacrum. We have used some of these posts to build our list of alternatives and similar projects.
  • C++20 Random Walk template library
    1 project | /r/proceduralgeneration | 21 Feb 2022
    I wrote this template library for simulating random walks in C++20 easily. I'm thinking of eventually adding more simulation methods - like walking with a custom distribution, or walking in hexagonal unit steps, but for now it's just a really simple walk simulator.

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 simulacrum and euler 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

awesome-graph-classification - A collection of important graph embedding, classification and representation learning papers with implementations.

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) 🍇

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

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)

motion_planning - Robot path planning, mapping and exploration algorithms

GRAN - Efficient Graph Generation with Graph Recurrent Attention Networks, Deep Generative Model of Graphs, Graph Neural Networks, NeurIPS 2019

AnoGraph - Sketch-Based Anomaly Detection in Streaming Graphs

euler vs GraphScope euler vs awesome-graph-classification euler vs pytorch_geometric_temporal euler vs libgrape-lite euler vs libvineyard euler vs efficient-gnns euler vs vg euler vs GNNs-Recipe euler vs motion_planning euler vs GRAN euler vs AnoGraph