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## š Feature
Hi guys, first of all, thanks for this amazing package, i love it.
While doing some stuff with it, i asked myself what the best walking / sampling strategy would be.
To evaluate thatā¦
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## ā Question
Hello,
I'm currently trying to generate Embeddings for a graph with ~ 13 million entities and 15 million walks. I'm using a machine with 128 Gb RAM, however, the in-memory saved randā¦
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This is quite a lot of work. I will summarize it in TODOs here based on the paper:
**Baseline features** (section 2.4 in the paper)
- [ ] Query features (4/7)
- [ ] Get data from Wikipedia (inā¦
Dahny updated
4 years ago
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## š Bug
I discovered a bug occurring when running examples/countries.py due to an incompatibility with the sklearn t-SNE. It can be resolved by making a few small changes.
## Current Behā¦
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Knowledge representations may have a probabilistic nature and capturing that is especially important for complex business domains where data is ... non-stationary or contextual.
This is often seen ā¦
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See full doc: https://docs.google.com/document/d/1nUVnQ90MHMofOFrko5j_uUo72EEWfEOwRxILf-G5SNs/edit
Assuming KG is largely in ABox
* Direct
* Symmetry (e.g. A interacts with B)
* Inverā¦
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I'm starting this so that there's a quick place to put a link that I come across that I don't really have time to categorize and a commit is a hassle. Often I'll come across something interesting but ā¦
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## ā Question
HI,
I want to generate embeddings for a dataset in FB15k from a txt file using pyrdf2vec. Should I create the KG from scratch, or is there another way?
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## ā Question
Dear Bram and Guilles. I need to use the function most.similar with pyrdf2vec.
I would like to know if pyrdf2vec has this function and how the syntax would be
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## ā Question
First of, thanks for providing a python implementation for rdf2vec it's been really useful to me so far.
I am using Python 3.9.16, pyrdf2vec version 0.2.3
I am running into someā¦