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Given the limited memory and bandwidth in a browser, sparse matrices could speed up transmission times and lower the memory usage.
Some example use cases: (1) If a model inefficiently creates many …
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the first step of GCN is to construct a populational graph.
there are three types of brain graphs we could choose:
1. spatial neighborhood
2. structural covariance
3. RSFC
In the 2nd and 3rd graphs, …
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I have a question about the camera model of the data: is cameras.bin where the gaussian_splatting model reads the model from? I have a cameras.bin file that I believe specifies PINHOLE model, but I ke…
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## 🚀 Feature
Currently, creating a sparse coo matrix requires checking all the provided indices are within bound. However, this is costly and sometimes not needed (e.g. when the sparse matrix is fr…
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```
* JGraphT version: 1.3
* Java version (java -version)/platform: 13
**Issue**
The bottleneck in JGraphT 1.3 when constructing graphs with hundreds of millions of edges is the single threaded…
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For presenting and visualization of our work, it would be cool to generate 3d-force-graphs of the computation graphs using
https://github.com/vasturiano/3d-force-graph/
We need
a) functional…
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The problem is that prefabs are always linked to each other and can't be changed individually.
To work around that it can be put inside another node which can then be edited, or with the use of the C…
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hello,
i've managed to execute the visualize sense layer example,
but I have not manged to reproduce results using other graphs (like the current [tensorflow classification tutorial graph](https:/…
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if any readability/speed can be gained.
Not urgent but it might be a good way to explore different corners of the codebase.
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This would not make sense in the real world scenario (real world connection graphs are too sparse) but benchmarks (tester) would benefit from it (true, unamortized O(1) lookups).
Also, document why…