A curated list of network embedding techniques.
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#
graph-embeddings
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Python library for Representation Learning on Knowledge Graphs https://docs.ampligraph.org
machine-learning knowledge-graph representation-learning relational-learning graph-embeddings knowledge-graph-embeddings graph-representation-learning
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- Python
Universal Graph Transformer Self-Attention Networks (TheWebConf WWW 2022) (Pytorch and Tensorflow)
text-classification transformer graph-machine-learning graph-embeddings graph-classification self-attention graph-neural-networks graph-representation-learning transformer-models node-embeddings graph-deep-learning graph-transformer
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- Python
Quaternion Graph Neural Networks (ACML 2021) (Pytorch and Tensorflow)
text-classification quaternion quaternion-algebra graph-embeddings graph-classification node-classification graph-neural-networks graph-representation-learning node-embeddings hamilton-product
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- Python
From Random Walks to Transformer for Learning Node Embeddings (ECML-PKDD 2020) (In Pytorch and Tensorflow)
transformer random-walk graph-embeddings node-classification self-attention graph-neural-networks pytorch-implementation unsupervised-node-embedding node-embeddings inductive-node-embeddings
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- Python
Code for the paper "Fine-Grained Entity Typing in Hyperbolic Space"
nlp hierarchy hierarchical-data hyperbolic-distance hyperbolic-geometry hierarchical-models entity-typing graph-embeddings fine-grained-classification entity-types fine-grained-entity-typing figet hyperbolic-space
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- Python
Learning to represent shortest paths and other graph-based measures of node similarities with graph embeddings
graph word2vec embeddings wordnet semantic-similarity semantic-similarity-measures graph-embeddings synset synset-embeddings semantic-relatedness
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- Jupyter Notebook
Embedding graphs in symmetric spaces
graph matrix pytorch representation-learning icml graph-embeddings geometric-deep-learning hyperbolic-space symmetric-spaces siegel-space bounded-domain upper-half-space
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- Python
An implementation of the Watset clustering algorithm in Java.
nlp clustering semantics community-detection embeddings graph-clustering markov-clustering graph-embeddings chinese-whispers fuzzy-clustering watset maxmax
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- Java
An explainable AI system that combines Graph Intelligence, Vector Search, and Retrieval-Augmented Generation (RAG) to deliver grounded answers and transparent reasoning paths. Includes a FastAPI backend, Streamlit UI, FAISS vector index, and an in-memory knowledge graph for hybrid retrieval and recommendations.
python nlp machine-learning knowledge-graph semantic-search graph-embeddings explainable-ai faiss rag fastapi vector-search streamlit document-intelligence retrieval-augmented-generation graph-ai
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- Python
Code for "Distributed, Egocentric Representations of Graphs for Detecting Critical Structures" (ICML 2019)
convolutional-neural-networks self-similarity interpretability icml graph-embeddings scale-free-networks graph-neural-networks graph-networks graph-convolutional-neural-networks icml-2019
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- Python
The SEMB library is an easy-to-use tool for getting and evaluating structural node embeddings in graphs.
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- Python
GitHub repositories and users recommendations by embeddings
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- Jupyter Notebook
GyroSPD: Vector-valued Distance and Gyrocalculus on the Space of Symmetric Positive Definite Matrices
graphs pytorch knowledge-graph hyperbolic-geometry spd graph-embeddings geometric-deep-learning gyrocalculus
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- Python
Vectorizing knowledge bases for entity linking
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- Python
Smooth Variational Graph Embeddings for Efficient Neural Architecture Search
nas automl variational-autoencoder neural-architecture-search graph-embeddings graph-neural-networks
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- Python
`arrowspace` for Python. A graph analysis and vector search library
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- Python
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