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Does this support running algorithms (e.g. GraphSage) on very large graphs? This would mean
1. Memory requirement to hold large data
2. Speeded up training.
I see the connection to neo4j as a sol…
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Section 5.3 of [Syed et al., 2021](https://rss.onlinelibrary.wiley.com/doi/10.1111/rssb.12464) mentions that it is more efficient, under certain conditions, to run ``k`` multiple copies of the PT algo…
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- [x] design data structures
- [x] design algorithms
- [x] impelement
- [x] write new tests for distributed environment
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This is to call the efficiency improvement for LightGBM, include but not limited to:
- Tree learning algorithm acceleration
- I/O related, like dataset loading and model saving
- Inference speed im…
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Hi.
Great project overall but there are a few missing pieces, since you distributed the pip lib as a shared object I cannot see the source code
It would be very helpful to have a brief in depth e…
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**Bucket Sort Algorithm**
Bucket sort is mainly useful when input is uniformly distributed over a range. For example, Sort a large set of floating point numbers which are in range from 0.0 to 1.0 a…
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Reversible Jump MCMC algorithms are a generalization of the Rosenbluth-Metropolis-Hastings algorithm for when the target density does not have a fixed number of dimensions. Since `aesara` can handle v…
rlouf updated
2 years ago
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In this full-day workshop, creator of RavenDB Oren Eini will guide your through the steps of building a consensus-driven distributed system from scratch. Topics covered:
Persistence to disk, includin…