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This is the tracking issue for sparse strips (not the design document).
Sparse strips represent the next generation of GPU path rendering, promising better performance and more flexibility in integ…
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This is just a question: are there any plans to support JAX-compatible linear solvers for sparse matrices? I am thinking of sparse linear systems of the type $Ax=b$ where $A$ is sparse.
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SciPy has one method for solving triangular systems with dense matrices, [solve_triangular](https://docs.scipy.org/doc/scipy/reference/generated/scipy.linalg.solve_triangular.html) and one for sparse …
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Maybe allow OTU_table to be tall/sparse, if this is easy to implement.
If sample total read counts are currently calculated before "melting" broad/dense tables, then this may be a problem.
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### Task motivation
Gene Regulatory Network (GRN) inference is pivotal in systems biology, offering profound insights into the complex mechanisms that govern gene expression and cellular behavior. Th…
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### Bug description
### Steps/Code to reproduce bug
I run [this example from Merlin Models](https://github.com/NVIDIA-Merlin/models/blob/main/examples/usecases/transformers-next-item-predict…
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### Describe your issue.
Hi. I have been using scipy.sparse.linalg.splu for sparse LU factorization. I kept running into memory issues with problems that were nowhere near the RAM capacity of the sys…
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### Describe the workflow you want to enable
Motivation:
Sparse matrixes are very common in recommender systems problems. And matrix factorization approach is one of the most popular approaches for …
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LightGCL: Simple Yet Effective Graph Contrastive Learning for Recommendation
https://arxiv.org/abs/2302.08191
```bib
@misc{cai2023lightgclsimpleeffectivegraph,
title={LightGCL: Simple Yet Ef…
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We will release a number of new features or improvements with version 1.5 (see [Draft release notes](https://github.com/helmholtz-analytics/heat/releases) for what's been already merged, and [PRs](htt…