Abuse detection in online conversations with text and graph embeddings
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Updated
Jul 11, 2024 - Python
Abuse detection in online conversations with text and graph embeddings
sklearn for machine learning on graphs
Python library for Representation Learning on Knowledge Graphs https://docs.ampligraph.org
Julia package to Compare Graph Embeddings
Smooth Variational Graph Embeddings for Efficient Neural Architecture Search
Learning Structural Node Representations using Graph Kernels
We are applying the notion of the spectral radius to NLP and data represented as graphs.
Torch geometric compatible node embedders
The official repository for the source code of the article "Local graph embeddings based on neighbors degree frequency of nodes".
Research project exploring multiplex reconstruction techniques informed by graph embeddings.
✨ Implementation of Self-supervised Heterogeneous Graph Neural Network with Co-contrastive Learning with pytorch and PyG
Signed Whole Graph Embeddings
Reconstructed GRU, used to process the graph sequence.
Master-Thesis on fraud detection on email and bitcoin dataset using graph based methods
Detection of fraudulent Bitcoin accounts using graph theory, primarily the graph embedding techniques node2vec and trans2vec, after the testing and use of graph sampling techniques.
The SEMB library is an easy-to-use tool for getting and evaluating structural node embeddings in graphs.
Knowledge graph models manipulator which allows to perform various evaluations of provided embedders
This repo contains the code and datasets from our paper Learning Stance Embeddings from Signed Social Graphs.
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