kgtk
graph-notebook
| kgtk | graph-notebook | |
|---|---|---|
| 1 | 3 | |
| 341 | 691 | |
| 2.9% | 2.2% | |
| 4.3 | 7.9 | |
| 7 months ago | 3 days ago | |
| Jupyter Notebook | Jupyter Notebook | |
| MIT License | Apache License 2.0 |
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.
kgtk
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Notable items missing from English Wikipedia
You don't have to use SPARQL. For example, you could download a data dump and run Cypher queries using the Knowledge Graph Toolkit: https://github.com/usc-isi-i2/kgtk
graph-notebook
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AWS Neptune for analysing event ticket sales between users - Part 1
We will now configure a Neptune graph notebook to access the cluster, so we can run queries and generate interactive visualisations. Neptune Workbench allows users to run fully managed jupyter notebook environment in Sagemaker with the latest release of the open source graph Neptune project. This has the benefit of offering in-built capabilities like visualisation of queries
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AWS Neptune for analysing event ticket sales between users - Part 2
This blog follows on from the setup of Neptune DB with Worldwide Events data in the first part. Here we will run some queries and investigate node relationships in the Neptune Notebook. We can use some of the magic commands available in graph notebook open sourced by AWS and available to use in the Neptune Notebook instance configured in the first part of this blog. We can configure the visualisation options available in the notebook when we execute the query, using the%graph_notebook_vis_options command. This will output a json containing the default configuration options for rendering the graphs.
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Build a graph database with Amazon Neptune Part 1 - AWS CloudFormation stack
AWS Graph Notebooks
What are some alternatives?
gastrodon - Visualize RDF data in Jupyter with Pandas
Fast_Sentence_Embeddings - Compute Sentence Embeddings Fast!
jupyter-memgraph-tutorials - Learn to use Memgraph and GQLAlchemy quickly with the help of Jupyter Notebooks
cleora - Cleora AI is a general-purpose model for efficient, scalable learning of stable and inductive entity embeddings for heterogeneous relational data.
notebook - Jupyter Interactive Notebook
nbestimate - Estimate of Public Jupyter Notebooks on GitHub
amazon-neptune-samples - Samples and documentation for using the Amazon Neptune graph database service
amazon-neptune-tools - Tools and utilities to enable loading data and building graph applications with Amazon Neptune.
graph - Practical Gremlin - An Apache TinkerPop Tutorial
ML-Workspace - 🛠All-in-one web-based IDE specialized for machine learning and data science.
jupyter-memgraph-tutorials - Learn to use Memgraph and GQLAlchemy quickly with the help of Jupyter Notebooks [Moved to: https://github.com/memgraph/jupyter-memgraph-tutorials]