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Right now, only unary edges are supported. I love the look of the edges in the "Directed Sourced Hypergraphs" of [this paper](https://arxiv.org/pdf/1804.09408.pdf) and have wanted to generate my own g…
s5bug updated
2 years ago
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Running
```python
HH = xgi.Hypergraph([{1, 2, 3}, {4}, {5, 6}, {6, 7, 8}])
xgi.degree_counts(HH)
```
outputs `[0, 7, 1]`.
It is even our test: https://github.com/ComplexGroupInteractions/xgi/…
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When I create the hypergraph
```
H = xgi.Hypergraph([[1, 2], [1, 2], [1, 2, 4]])
```
the hyperedge (1, 2) is considered twice in the incidence matrix, even if it is recognized to be duplicated by…
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I have a pairwise dataset with 634 nodes and 18624 edges.
I want to fill its empty triangles with probability p.
We have a function `flag_complex` that does exactly this, but it's slow: after runni…
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Hi, thanks for sharing the code of the exciting work. I have several questions about the paper and the implementation.
1. What does the argument only_rw stand for in the main file?
2. The datasets…
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Create a Hypergraph:
```python
import xgi
H = xgi.Hypergraph({0: {1, 2}, 1: {1, 4},
2: {0, 1, 8}, 3: {0, 3, 5}})
H._edge
# -> {0: {1, 2}, 1: {1, 4}, 2: {0, 1, 8}, 3: {0, 3,…
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Hey Matthias,
Happy new year to you!
I just copied my answer to issue #1801.
Correct me if I misunderstood something:
The hypergaph convolution works by introducing a vertex for each hyper…
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## 🐛 Bug
## To Reproduce
Steps to reproduce the behavior:
1. Constructed a hypergraph, let us say there are 15 hyperedges, 9 nodes, each node has 30 features, and each hyperedge is assign…
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## ❓ Questions & Help
I would like to gain some more understanding on the HypergraphConv implemented in Pytorch-Geometric. Let say we have a dataset that belongs to https://ls11-www.cs.tu-dortmund.…