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- [ ] accessanalyzer →
- [ ] acm →
- [ ] acm-pca → #13327
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## Purpose and requirements
The purpose of this library is to provide a solution for creating distributed stream processing applications. These applications read data from data sources that (option…
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* Introduction to a subject
* List of tools
* Links to related repos, videos, podcasts, posts
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### Describe the bug
I run into the error when I use my merger code a second time. The code to reproduce is attached. Versions below.
```
CommitFailedError: Failed to commit transaction: Error …
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### 🐛 Describe the bug
If I have two graphs with identical contents, and compare them with `==`, it returns `False`.
For example, the following code:
```python
import torch
from torch_geometr…
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### 🚀 The feature, motivation and pitch
We would like to be able to enhance dataloaders to specifically handle the case of loading large volumes of small graph data. Currently, PyG is primarily able …
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### 🚀 The feature, motivation and pitch
Adding an abstraction for offline sampling support with data prefetching.
Sampling can easily become the bottleneck in graph learning pipelines. Therefore, …
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**Describe the bug**
Logging to stdout is an undesirable default for a library, especially since tools that use the library will want to control what is written to stdout. For example, imagine a co…
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Hi team,
in 5 out of 4 requests im facing an error on this line, my **feast version is 0.34.1**
**store = FeatureStore(config=repo_config)**
below is my repo config code:
…
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Hello, I've this code that is pretty similar to the example provided by aws: https://docs.aws.amazon.com/sagemaker/latest/dg/batch-ingestion-spark-connector-setup.html
This is my java version:
ja…