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Starting this issue for tracking the learning progress of GNN
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After embedding the dataset and graph creation, is there anyway currently to visualise the data, as it is shown in the blogpost?
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Based on the requirements and the existing TxtAI ecosystem, here's a proposed approach to develop LLM Integration for Knowledge Graph Enhancement:
1. Automatic Knowledge Graph Generation and Enrich…
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# PyTorch ONNX Conversion Error Report
```
✅ Obtain model graph with `torch.export.export`
❌ Translate the graph into ONNX
⚪ Run `onnx.checker` on the ONNX model
⚪ Execute the model with ONNX R…
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**Describe the bug**
I followed the example of bedrock https://github.com/VinciGit00/Scrapegraph-ai/blob/main/examples/bedrock/smart_scraper_bedrock.py
It was working in the first place. Then af…
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In an attempt to make impact-graph replicable and running in a high availability environment. Making this a reality concerns running multiple impact-graph instances at the same time which are all conn…
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Hi,
Any plans on implementation of embedding or vector representation of nodes and edges. @dschult
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1) Coat Hanger into Chimera: Can easily be done without crossing any edges
2) Propeller into Chimera: Rotation to have auxiliary on top (I did rotation in LaTeX using \rotatebox{} but messed up the r…
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## ❓ Questions and Help
We are using Pytorch XLA w/ TPU to train a multi-modal language models.
We can make most of the code, such as image encoding and the forward pass in the LLM backbone, in a …
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Thanks for your great work. While using the code in the `ali-dev` branch, I encountered a potential bug when merging objects in SLAM.
In `utils.py` at line 275
https://github.com/concept-graphs/…