-
Post your questions here about: “[Network Learning](https://docs.google.com/document/d/1hjXUvBRS779HDvbYXMKjyVbO3wVg6SaWNtxwof6s6LM/edit?usp=sharing)” & “Knowledge and Table Learning”, Thinking with D…
-
Hello,
As I was trying to work this into a Graph LLM Rag. I was thinking on doing some queries based on data type (example: node is a 'person', 'skill', ...).
The idea was to have a person A, id…
-
### Summary
This is an open discuss issue for ideating around Knowledge Bases across the Kibana Platform. I will try as best as I can to capture terminology, current implementations, and future use…
spong updated
3 months ago
-
- "if the conference / journal acronym can be printed in bold that would be great (not sure whether it’s technically possible) → or even better, instead of highlighting “Inproceedings” (the type - whi…
-
**Description**
Code Embeddings are abstract representations of source code employed in multiple automation tasks in software engineering like clone detection, traceability, or code generation. This …
-
## 🐛 Bug
When trying to create embeddings for a custom list of DBPedia entities using `RDF2VecTransformer.fit_transform`, I'm encountering the following bug in `RDF2VecTransformer._update`:
**…
-
您好,我想问一下代码里面用到的pretrain embedding是使用TransR训练多轮得到的吗?
-
https://drive.google.com/file/d/1wfV82KgNEpmhl0uyTbfK5lDcg2J-VFux/view?usp=sharing
```
Please act as a professional note taker and create an outline for the topics of the conversation below. Be as…
-
First I want to thank you for making this pykg2vec project! Its comprehensive inclusion of many SOTA algorithms along the development history of knowledge graph embedding is really impressive!
I am…
-
Hi, thank you for sharing the code!
Can you please explain how the ELMO embeddings are being used in the following lines in `models/list_encoder.py`?
`
learned_emb = self.lemb(l)
…