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Hi :)
I am trying to create hypergraphs with pretty huge hyperedge weights. As a consequence, when these get too large I get this error log:
```
ERROR: InexactError: trunc(Int32, 1099511627776)…
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Presentation for the research topic of circuit partition will take place on 9/14 in class:
1. George Karypis and Vipin Kumar, "[Multilevel k-way Hypergraph Partitioning](https://citeseerx.ist.psu…
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The documentation of the results in /graphdata is pretty short.
It seems `.nodes.csv` contains only the nodes with the node ID being the first CSV column.
Also `.edges.csv` are the edges. However, …
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I've add dependencies
`
implementation("ai.hypergraph:kotlingrad:0.4.7")
`
in Gradle project, build.gradle.
Compiled without error. When I tried to run:
`> Task :run FAILED
Error occur…
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Currently, we have a way of seeing all attributes:
```python3
H.nodes.attrs[0]
# -> {"name": "Leo", "color": "green"}
```
What I'd love to have is a way of seeing all stats too:
```python3
H.…
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Provide a weight transformation function in `TwoSectionView` constructor.
struct TwoSectionView{T
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### The problem
We need to understand how to use machine learning to classify, find anomalies, etc. for Wolfram model rules and evolutions. Ultimately, we want to be able to feed Wolfram model states…
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Probably by moving the heap into my own sort of heap.
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@ftudisco
In the file real_hypergraph_data.jl the mappings are:
` mappings = Dict("linear" => (x -> x, x -> x, x -> x, x -> x),
"log-exp" => (x -> x, x -> x.^(1/10), x -> …
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Review the model implementations and make sure they converge properly on real-world datasets.
nn/cell:
- [x] CAN
- [x] CCXN
- [x] CWN
nn/combinatorial
- [x] HMC