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Deep Convolutional Networks on Graph-Structured Data
paperium.net·2d·
Discuss: DEV
📊Spectral Graphs
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An O(m) Algorithm for Cores Decomposition of Networks
dev.to·5h·
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🕸️Network Topology
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TRUNAJOD: A text complexity library for text analysis built on spaCy — TRUNAJOD 0.1.1 documentation
trunajod20.readthedocs.io·12h
📝Parsing Grammars
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The Transformer Architecture: A Deep Dive into How LLMs Actually Work
dev.to·7h·
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📝Text Parsing
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Why I swapped a Relational Database for Neo4j to build a Skill-Gap Identifier 🚀
dev.to·16h·
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🕸️Neo4j
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Emotion Diffusion in Real and Simulated Social Graphs: Structural Limits of LLM-Based Social Simulation
arxiv.org·2d
📈Spectral Graph Theory
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Deep Kronecker Network
arxiv.org·2d
🧠Machine Learning
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Deep Convolutional Networks on Graph-Structured Data
dev.to·2d·
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🤖Paleographic ML
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Self-Supervised Temporal Pattern Mining for circular manufacturing supply chains with embodied agent feedback loops
dev.to·6h·
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🌊Stream Processing
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What Deep Learning Theory Teaches Us About AI Memory
dev.to·1d·
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🧠Learned Compression
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Stanford CS 224N | Natural Language Processing with Deep Learning
web.stanford.edu·1d
🧠Machine Learning
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What Is ChatGPT Doing?
vibediary.dev·2d·
Discuss: Hacker News
🧠Neural Codecs
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Building a Neural Network from scratch
pub.towardsai.net
·2d
🧠Machine Learning
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Enhancing Lung Cancer Treatment Outcome Prediction through Semantic Feature Engineering Using Large Language Models
arxiv.org·2d
💻Local LLMs
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Shared Representation Learning for High-Dimensional Multi-Task Forecasting under Resource Contention in Cloud-Native Backends
arxiv.org·2d
📈Time Series
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The Machine Learning “Advent Calendar” Day 22: Embeddings in Excel
towardsdatascience.com·5d
🗂️Vector Databases
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An introduction to modular induction and some attempts to solve it
lesswrong.com·4d
🔲Cellular Automata
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$\text{H}^2$em: Learning Hierarchical Hyperbolic Embeddings for Compositional Zero-Shot Learning
arxiv.org·3d
🌀Hyperbolic Geometry
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