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Deep Convolutional Networks on Graph-Structured Data
paperium.net·2d·
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🕸️Graph Theory
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Rodgers, Steelers could clinch AFC North before Browns game
bradfordera.com·1d
✨Gleam
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Tanya Khovanova's Math Blog
blog.tanyakhovanova.com·9h
📐Computational Geometry
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An O(m) Algorithm for Cores Decomposition of Networks
dev.to·4h·
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🕸️Graph Theory
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Dynamic graph neural networks for improving the reliability of traffic flow prediction: Progress and prospects
sciencedirect.com·1d
🕸️Graph Theory
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wwes4/AI_Accel_1.5x: AI acceleration framework for ~1.5x speedups in mid-sized models via tension-based pruning. Built utilizing xAI's Grok.
github.com·1d·
Discuss: Hacker News
🦀Rayon
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Towards a General Framework for Predicting and Explaining the Hardness of Graph-based Combinatorial Optimization Problems using Machine Learning and Association Rule Mining
arxiv.org·2d
⚡X-Fast Tries
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Multi-omics integration identifies diverse transcripts and chromatin accessibility profiles in <i>Monopterus albus</i> gonads
nature.com·15h
🧬Computational Biology
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A remarkable computation
cameroncounts.wordpress.com·4d
🔗Graph Algorithms
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Treating Functions as Vectors in Hilbert Space
hackaday.com·1d
📐Linear Algebra
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Information, Physics, and Computation (Oxford Graduate Texts): Mézard, Marc, Montanari, Andrea: 8601410201722: Amazon.com: Books
amazon.com·1d
📊Information Theory
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<p>**Abstract:** This paper introduces a novel framework, Automated Protocol Refinement for Enhanced Algorithm Validation (APREAV), to significantly improve the...
freederia.com·16h
🌀Naiad
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Pandas vs Polars: Why the 2025 Evolution Changes Everything
dev.to·10h·
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🐻‍❄️Polars
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Software Architecture with C++: Designing robust C++ systems with modern architectural practices, Edition 2 by Andrey Gavrilin, Adrian Ostrowski, Piotr Gaczkowski
play.google.com·2d·
Discuss: r/cpp
🔨Incremental Compilation
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the pile of books on my desk
lollar.bearblog.dev·2d
⏭️Skip Lists
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Learning transitions of topological surface codes
arxiv.org·3d
🔀Topological Sorting
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🎲 The Automatic Grover Algorithm
lucamarx.com·1d
⚛️Quantum Computing
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Benchmarking and Enhancing VLM for Compressed Image Understanding
arxiv.org·2d
🤖TVM
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Error Bounds in a Smooth Metric for Brownian Approximation of Dynamical Systems via Stein’s Method | Journal of Statistical Physics
link.springer.com·1d
📊Optimization
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What Deep Learning Theory Teaches Us About AI Memory
dev.to·1d·
Discuss: DEV
🔄Memory Ordering
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