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I would like to ask in which python code this code refers to concatenation or an aggregate average of embeddings ( merged- concatenate the obtained language-model and knowledge graph representations).…
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## Papers
COLING'2020 will be happening next week (Dec 8-13, 2020, online). And one of the papers accepted there caught my attention.
It's called [(2020) Biased TextRank: Unsupervised Graph-Base…
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[Issue]
Logseq failed to open the URI with an error message:
>Failed to open link. Cannot match graph identifier `logseq_notebook` to any linked graph.
Search results are correct.
[Env]
fire…
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Dear all,
Thank you for this open-source project. I did enjoy your paper and [presentation](https://www.youtube.com/watch?v=nMONiYLWWOU). I wanted to use laplace API to calibrate knowledge graph em…
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Assuming that we use SmallKG or KnowledgeGraph classes to train the models with our own dataset:
1) Is there an API call that exports trained embeddings in a user-friendly format so that embeddin…
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## 🐛 Bug
When I build this project locally (with `pip install .`), I get the following error message:
```
TypeError: unhashable type: 'SPARQLConnector'
```
I do not get this error message w…
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I have generated knowledge graph embeddings by RDF2Vec( RDF triples.ttl file with DBpedia URIs) of size (7536, 384) and I have embeddings for my text dataset generated by Sbert of size(14169,384). Now…
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Hello DGL people!
I read the arxiv 2020 paper and I found it very interesting. It is great that the project is open source.
I am wondering if I can implement my own graph embedding algorithm on …
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See here: https://projects.invisionapp.com/freehand/document/I6gyvMiJB
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Hi, I applied PaCMAP on pretrained knowledge graph embeddings made from wikidata5m knowledge graph (https://graphvite.io/docs/latest/pretrained_model.html). These are quite chunky and looking up neare…