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- Dynamic graph construction: (Yu Chen)
i) Add raw_text_to_init_graph method for all dynamic graph construction classes.
ii) Explore other similarity metric learning & graph sparsification technique…
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Dear authors,
I used _issue_ form to submit the general question about the implementation details. The framework works just fine. Thanks, great job! :)
You utilized Horovod's API to construct co…
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Dear Dr. Ouyang
I'm Innovator in using sisso code and would like to use it in my machine-learning projects. However, I compiled it by mpiiforf without any compilation error, but when I run it at the…
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- complete all three dynamic classes
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I may have found a subtle, but probably very important, difference of sparse matrix implementation between training and runtime.
In the runtime code (C), the sparse matrix multiplication is done by…
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The SOAP-like representations (spherical invariants and covariants) currently compute coefficients for all the n-n'-l combinations. We can save a large fraction of the computational cost if we only co…
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e.g.
![plot-1587194692_sdp_l0_wtspec-J0408-6545-scan_1-FREQ-BASELINE-CORRECTED_DATA-amp](https://user-images.githubusercontent.com/6533799/80288084-679f6980-872d-11ea-8d67-f83fc24dd302.png)
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Hello
I was wondering if the scheme that reduces the length of the fingerprint for efficiency (with retaining the quality of the fingerprint) is also implemented in GAP and if we can use it?
Best re…
bpfrd updated
4 years ago
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I'm starting with a directed graph with 8541 edges. I run a Sparsifier with a ratio of 0.5.
```python
print(G.numberOfEdges(), localDegGraph.numberOfEdges())
```
```8541 4234```
So f…
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Hi, thanks for your work
I have one question on utils.py, what is the following parameter mean?
glayerwise = [1.,1.0, 1./15, 1./144]
elayerwise = [1.,0.5, 15., 144.]
Thanks in advance