Graph Data in One Click
Awesome Graph Dataset
Graph Hub is an Open Source community and hub, providing a carefully selected assortment of graph datasets tailored for NebulaGraph.
You could explore Graph Query, Algorithm, Visualization, GNN, GenAI(Graph RAG) and more by copy & paste the ingestion commands from the dataset page.
How to use
Load Data within Jupyter Notebook
!pip install jupyter-nebulagraph
%load_ext ngql
Option 0(Not yet supported):
TBD for integration with Juypter-NebulaGraph.
%ng_dataset supply_chain
Option 1:
Load with %ng_load magic command to load data from registry of Graph Dataset Hub.
- See supply_chain dataset download for more details.
- See %ng_load magic command for command usage.
%ng_load --header --source https://github.com/wey-gu/awesome-graph-dataset/raw/main/datasets/supply_chain/tiny/nodes_car_model.csv --tag car_model --vid 0 --props 1:name,2:number,3:year,4:type,5:engine_type,6:size,7:seats --space supply_chain
%ng_load --header --source https://github.com/wey-gu/awesome-graph-dataset/raw/main/datasets/supply_chain/tiny/nodes_feature.csv --tag feature --vid 0 --props 1:name,2:number,3:type,4:state --space supply_chain
%ng_load --header --source https://github.com/wey-gu/awesome-graph-dataset/raw/main/datasets/supply_chain/tiny/nodes_part.csv --tag part --vid 0 --props 1:name,2:number,3:price,4:date --space supply_chain
%ng_load --header --source https://github.com/wey-gu/awesome-graph-dataset/raw/main/datasets/supply_chain/tiny/nodes_supplier.csv --tag supplier --vid 0 --props 1:name,2:address,3:contact,4:phone_number --space supply_chain
%ng_load --header --source https://github.com/wey-gu/awesome-graph-dataset/raw/main/datasets/supply_chain/tiny/with_feature.csv --edge with_feature --src 0 --dst 1 --props 2:version --space supply_chain
%ng_load --header --source https://github.com/wey-gu/awesome-graph-dataset/raw/main/datasets/supply_chain/tiny/is_composed_of.csv --edge is_composed_of --src 0 --dst 1 --props 2:version --space supply_chain
%ng_load --header --source https://github.com/wey-gu/awesome-graph-dataset/raw/main/datasets/supply_chain/tiny/is_supplied_by.csv --edge is_supplied_by --src 0 --dst 1 --props 2:version --space supply_chain
Load Data within NebulaGraph Console
TBD for integration with NebulaGraph Console
:play supply_chain
Load Data with NebulaGraph Importer
# run the importer
docker run --rm -ti \
-v ${PWD}/data/supply_chain/:/data \
-v ${PWD}/importer_v4_config.yaml:/root/importer_v4_config.yaml \
vesoft/nebula-importer:v4 \
-c /root/importer_v4_config.yaml
See more per each dataset in Graph Dataset Hub.
Contributing
Please refer to the Contribution Guide for more information on how to introduce new datasets to the Graph Dataset Hub.
Metadata
Release files for nebula-loader 0.1.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
|---|---|---|---|---|
| nebula_loader-0.1.1.tar.gz | 5.7 kB | Without provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| nebula_loader-0.1.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 12.0 kB
Release files / nebula_loader-0.1.1.tar.gz
| Download URL | nebula_loader-0.1.1.tar.gz |
|---|---|
| Size | 5.7 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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No |
| Uploaded via |
twine/5.0.0 CPython/3.9.19
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Release files / nebula_loader-0.1.1-py3-none-any.whl
| Download URL | nebula_loader-0.1.1-py3-none-any.whl |
|---|---|
| Size | 6.3 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.0.0 CPython/3.9.19
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