graph-embeddings
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A curated list of network embedding techniques.
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Dec 8, 2020
Python library for Representation Learning on Knowledge Graphshttps://docs.ampligraph.org
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Nov 22, 2024 - Python
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Nov 5, 2023 - Python
Universal Graph Transformer Self-Attention Networks (TheWebConf WWW 2022) (Pytorch and Tensorflow)
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Aug 16, 2022 - Python
Quaternion Graph Neural Networks (ACML 2021) (Pytorch and Tensorflow)
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Dec 25, 2021 - Python
From Random Walks to Transformer for Learning Node Embeddings (ECML-PKDD 2020) (In Pytorch and Tensorflow)
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Jun 10, 2021 - Python
Code for the paper "Fine-Grained Entity Typing in Hyperbolic Space"
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Jan 15, 2020 - Python
Learning to represent shortest paths and other graph-based measures of node similarities with graph embeddings
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Aug 27, 2019 - Jupyter Notebook
Embedding graphs in symmetric spaces
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Sep 30, 2021 - Python
An implementation of the Watset clustering algorithm in Java.
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Dec 9, 2022 - Java
Implement the node2vec algorithm using Python
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Mar 11, 2022 - Python
Code for "Distributed, Egocentric Representations of Graphs for Detecting Critical Structures" (ICML 2019)
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Aug 24, 2021 - Python
The SEMB library is an easy-to-use tool for getting and evaluating structural node embeddings in graphs.
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Mar 24, 2023 - Python
GyroSPD: Vector-valued Distance and Gyrocalculus on the Space of Symmetric Positive Definite Matrices
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Nov 8, 2021 - Python
GitHub repositories and users recommendations by embeddings
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Nov 21, 2022 - Jupyter Notebook
Smooth Variational Graph Embeddings for Efficient Neural Architecture Search
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Apr 8, 2024 - Python
Vectorizing knowledge bases for entity linking
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Feb 21, 2021 - Python
An implementation of vdist2vec model in paper A Learning Based Approach to Predict Shortest-Path Distances
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Apr 8, 2022 - Python
Julia package to Compare Graph Embeddings
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Apr 8, 2024 - Julia
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