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jsonl-graph
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jsonl-graph
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Show HN: A Graphviz Implementation in Rust
Yeah, more-and-more I am inclining building ML project for graph visualization.
I have worked on graph visualisation for some time, did https://github.com/nikolaydubina/jsonl-graph and https://github.com/nikolaydubina/go-graph-layout
Been studying research papers on graph visualization.
It looks like we need some Deep Learning / ML based approach to this.
There is just so much meaning is encoded into XY coordinates and edges. Basic algorithms like Sugiyama produce meaningful visualizations only for simple and basic graphs.
When number of edges goes to the roof or nodes.. basic algorithms break down. Graphs become meaningless.
You have to make graphs by hand to make sense of it.
- CLI tool to make graphs of K8S resources
What are some alternatives?
gonum/mat64
sparse - Sparse matrix formats for linear algebra supporting scientific and machine learning applications
TextRank - :wink: :cyclone: :strawberry: TextRank implementation in Golang with extendable features (summarization, phrase extraction) and multithreading (goroutine).
gonum - Gonum is a set of numeric libraries for the Go programming language. It contains libraries for matrices, statistics, optimization, and more
go-dsp - Digital Signal Processing for Go
graph - Graph algorithms and data structures
gonum/plot - A repository for plotting and visualizing data
geom - 2d geometry for golang
go.matrix - linear algebra for go
go-estimate - State estimation and filtering algorithms in Go