data-science-papers | collaborative-web.com

Papers of interest for data scientists, covering mathematics, scientific computing, optimization, statistics, etc.

The Anatomy of a Large-Scale Hypertextual Web Search Engine (infolab.stanford.edu)

Added 2 weeks ago

In this paper, we present Google, a prototype of a large-scale search engine which makes heavy use of the structure present in hypertext.

DeepWalk: Online Learning of Social Representations (arxiv.org)

Added 1 month ago

DeepWalk learns latent representations of edges in a network, using local information obtained from truncated random walks.

Machine Learning: The High Interest Credit Card of Technical Debt (research.google)

Added 1 month ago

Machine learning offers a powerful toolkit for building complex systems, but it is easy to incur massive ongoing maintenance costs.

node2vec: Scalable Feature Learning for Networks (arxiv.org)

Added 1 month ago

Creating embeddings for nodes (or edges) in networks, that can capture both homophily and structural equivalence.

Efficient Locking for Concurrent Operations on B-Trees (csd.uoc.gr)

Added 1 month ago

by Philip L. Lehman and S. Bing Yao. (1981) This is the B-tree used by PostgreSQL. https://doi.org/10.1145/319628.319663

Limited Discrepancy Search (ai.dmi.unibas.ch)

Added 2 months ago

William D. Harvey and Matthew L. Ginsberg

Graph Algorithms in the Language of Linear Algebra (sites.cs.ucsb.edu)

Added 2 months ago

Presentation by John R. Gilbert

Mathematical Foundations of the GraphBLAS (arxiv.org)

Added 2 months ago

Connects linear algebra and graph theory. Matrix-based graph operations that can be used to implement a graph algorithms.

Top 10 algorithms in data mining (icdm.zhonghuapu.com)

Added 2 months ago

Wu, X., Kumar, V., Ross Quinlan, J. et al. Knowl Inf Syst 14, 1–37 (2008). https://doi.org/10.1007/s10115-007-0114-2

Pen and Paper Exercises in Machine Learning (arxiv.org)

Added 2 months ago

Michael U. Gutmann (2022), This is a collection of (mostly) pen-and-paper exercises in machine learning.

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Created: April 26, 2025 Updated: June 17, 2025

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