Related Issues (9)
- Create Pandera / PySpark utilities `graphlet.etl` to transform / validate multiple datasets into a uniform ontology
- Create a DBLP labeled training network with SAME_AS edges for training our entity resolution model
- Create `graphlet.nlp.ie` module for information extraction as part of property graph construction
- Create a generic, configurable system for entity resolution of heterogeneous networks using pre-trained LMs and GATs
- Implement efficient random motif searching via neural subgraph matching HOT 3
- Create an efficient pipeline for computing network motifs and aggregating higher order networks
- Create a `graphlet.null_model` module for heterogeneous networks
- Incorporate spark-rapids into architecture HOT 1
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from graphlet.