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🍇 GRAPE is a Rust/Python Graph Representation Learning library for Predictions and Evaluations
Seems to download, but I'm getting an error seemingly when the graph is being loaded. Possibly either the nodes or edges file is not what GRAPE expects? To reproduce: ```...
and multi-layer network?
It would be handy to know what versions of a graph are available, especially for KG-Hub projects. For example, it'd be nice to be able to do this: ``` from...
Hi Team, did some experimentation and found this issue when trying different tensorflow based embedding approaches: ```python from grape.embedders import StructuredEmbeddingTensorFlow embedding = StructuredEmbeddingTensorFlow().fit_transform(graph) ``` produces error: ``` ValueError: We...
Opening an issue as per our discussion @LucaCappelletti94: The edge prediction evaluation pipeline could benefit from a parameter such as node_features_names so that if a user passes in features without...
When using the edge prediction evaluation pipeline, I tried running a few different edge prediction models (e.g., KipfGCNEdgePrediction, not for the MLP, Decision Tree, or Random Forest), I got this...
Hi! One minor question/suggestion: I'm wondering if it would be a better idea not to load all modules as is done right now. For example, when I want to load...
Hi, I've been exploring this repository to work on graphs. The report in text format of the graphs is very useful, anyhow I find it difficult to find the metadata...
Hey, I'm trying to process a directed graph, the scales are about 5 million nodes and 100 million edges. I've managed to load the graph from a csv file, i...
Thanks for that repo. It seems that you have integrated several tools / libraries / approaches under Grape's hood. Do you intend to create a tutorial for a customer analytics...