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For validation, some questions should be designed to query the knowledge graph. These questions should cover every part of the report and need to have clear answers in the report. These questions shou…
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### Title
Fact-Checking System using GraphRAG and Knowledge Graph Integration with SQuAD Dataset
### Team Name
WeloveRAGing
### Email
202101197@daiict.ac.in
### Team Member 1 Name
Kirtan Soni
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**Describe the bug**
The behavior is a bit random. **When the text generation input size < batch size from the previous step** and replica > 1. The final output could missing some samples. This does …
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### Describe the bug
**When initializing CKG dataset which already comes included in pykeen, it gives HTTP 404 error. The CKG url is probably expired. The URL is given in the ckg.py modeuls as:**
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### Version
5.1.0
### Feature
This is a very loose feature idea, it's not urgent or anything.
It would be useful if when creating a new dataset in the Fuseki UI, the user would be presented with…
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Dear authors, this repository is such a great resource! Many thanks for creating it. I would like to suggest that maybe the Open Research Knowledge Graph (https://orkg.org/) could be leveraged to enli…
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Use some new dataset
Extract entities and their relationships with NLP:
Possible tools:
- https://github.com/facebookresearch/BLINK
- https://github.com/informagi/REL
- https://paperswithcode.com…
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https://www.microsoft.com/en-us/research/project/graphrag/
GraphRAG (Graphs + Retrieval Augmented Generation) is a technique for richly understanding text datasets by combining text extraction, net…
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Hello, the work you have done is truly excellent and has given us a lot of inspiration. We would like to ask where we can download the CMeKG data that you used in your paper. I noticed that the URL(ht…