grape
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π GRAPE is a Rust/Python Graph Representation Learning library for Predictions and Evaluations
Another hardware-related oddity, courtesy of our aging build server. When I import grape, it raises `NameError: name 'HASWELL_FLAGS' is not defined` - this is on our build server, where we...
Could support for saving classifier models please be added? This came up while meeting with @LucaCappelletti94 recently but it's become relevant again in the course of updating `neat-ml` to use...
For consistency with other methods, this should be named ``` get_number_of_weighted_triads() ```
While updating NEAT to use the most recent grape release, @justaddcoffee and @hrshdhgd and I took a look at what we're using to generate node embeddings based on pretrained word...
I'm emulating a lazy reviewer by only reading the README - I'd much rather bring my own data than use something built in. It would be great to have a...
Hi, thanks for your great work, I just got into GRAPE and I'm interesting in some basic graph operations, more specifically DFS, BFS, k-core, and connected component. But I'm getting...
Hey, I am using grape to evaluate some embedding methods on my graphs I made with Graph.from_pd(). My graphs are directed graph with weighted edges. When I looked help(Node2VecCBOWEnsmallen), it...
Very impressive library so far. Just wanted to mention here, unless I'm misreading your API docs, that the Graph object doesn't have an implementation of Prim's or Kruskal's minimum/maximum spanning...
Embeddings were successfully generated with Node2VecSkipGramEnsmallen from GRAPE. However, when trying to visualize the graph dimensionality reduction only the node degree plot showed in the top left, the other plots...
Hello, in my graph data, each node has many features, and the type of the feature value is float. Similarly, the edges also have many features, and the type of...