Igraph Collection

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🔮Psychic

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“PyGraphistry is a Python library to quickly load, shape, embed, and explore big graphs with the GPU-accelerated Graphistry visual graph analyzer”

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🔮Psychic

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“A curated list of community detection research papers with implementations. ”

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🔮Psychic

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“Publication-quality network visualisations in python”

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🌿Grass

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“A tidy API for graph manipulation”

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🔮Psychic

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“Community Discovery Library ”

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⚡Electric

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“Three.js widgets for R and shiny”

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📦Normal

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“The home of the Jupyter notebook graph visualization widget powered by yFiles for HTML”

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🌿Grass

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“d3.js helpers for R”

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🔥Flame

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“Interactive graph visualizations with Python and HTML/CSS/JS.”

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🔮Psychic

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“An implementation of "EdMot: An Edge Enhancement Approach for Motif-aware Community Detection" (KDD 2019)”

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🔮Psychic

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“Time series to visibility graphs.”

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🔮Psychic

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“Your favorite Python graph libraries, scalable and interoperable. Graph databases in memory, and familiar graph APIs for cloud databases.”

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📦Normal

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“IGraph/M is the igraph interface for Mathematica”

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🔮Psychic

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“Visualise networks and trees in Python, with style.”

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🔮Psychic

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“A NetworkX implementation of "Ego-splitting Framework: from Non-Overlapping to Overlapping Clusters" (KDD 2017).”

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📦Normal

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“:sparkler: Network/Graph Analysis with NetworkX in Python. Topics range from network types, statistics, link prediction measures, and community detection. ”

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🌿Grass

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“Beautiful graph drawing”