Learn all about what's new in Neo4j Graph Data Science 2.3! Join Zach Blumenfeld as he walks you through how to:
Perform fast and scalable Graph ML using the Knowledge Graph Embedding - HashGNN
Find the shortest, least expensive route to a location from multiple starting points using the Steiner Tree pathfinding algorithm
Incorporate your negative examples to train link prediction models faster.
Transform directed relationships into undirected relationships
And more!
Check out the resources below if you want to learn more
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Resources
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Notebooks / Demos / Technical Resources
Steiner trees:
- Docs: https://development.neo4j.dev/docs/graph-data-science/current/algorithms/directed-steiner-tree/
- Notebook Example: https://github.com/neo4j-product-examples/ds-supply-chain-use-cases/blob/main/route-optimization-c2k/part2-multi-route-optimization-steiner-trees.ipynb
HashGNN:
- Arxiv paper: https://arxiv.org/abs/2105.14280
- docs: https://development.neo4j.dev/docs/graph-data-science/current/machine-learning/node-embeddings/hashgnn/#_usage_in_machine_learning_pipelines
- notebook example: https://github.com/neo4j/graph-data-science-client/blob/main/examples/heterogeneous-node-classification-with-hashgnn.ipynb
Graph construct dataframe to graph example, improving ML with graph embeddings
- Notebook example: https://github.com/neo4j-product-examples/graph-machine-learning-examples/blob/main/inductive-node-classifiaction-ml-integration/example.ipynb
Getting Started with Graph Data Science:
- Sandbox: https://sandbox.neo4j.com/?usecase=graph-data-science2
- Self-managed installation: https://development.neo4j.dev/docs/graph-data-science/current/installation/
- AuraDS: https://console.neo4j.io/?product=aura-ds
Graph Data Science 2.3 Links:
Graph Data Science release announcement
- http://development.neo4j.dev/blog/announcing-neo4j-graph-data-science-2-3
What’s new summary
- https://go.neo4j.com/rs/710-RRC-335/images/Whats-New-in-Graph-Data-Science-2.3.pdf
Graph Data Science
- Docs: https://development.neo4j.dev/docs/graph-data-science/current/
- GitHub: https://github.com/neo4j/graph-data-science
Python Client:
- Docs: https://development.neo4j.dev/docs/graph-data-science-client/current/
- GitHub: https://github.com/neo4j/graph-data-science-client