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graph-embedding-methods

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xiangyue9607 /BioNEV

Graph Embedding Evaluation / Code and Datasets for "Graph Embedding on Biomedical Networks: Methods, Applications, and Evaluations" (Bioinformatics 2020)

gae deepwalk matrix-factorization network-embedding link-prediction node2vec graph-embedding node-classification graph-embedding-methods struc2vec sdne graph-embeddings-evaluation biomedical-networks line-embedding graph-factorization biomedical-graphs

UpdatedApr 14, 2020
Python

hengdashi /cuda_gcn

GPU implementation of GCN (Graph Convolutional Networks)

deep-learning gpu parallel-computing graph-convolutional-networks gcn graph-embedding-methods

UpdatedJul 15, 2022
Cuda

sbonner0 /unsupervised-graph-embedding

Code for both the IEEE Big Data 2017 Paper: Evaluating the quality of graph embeddings via topological feature reconstruction and the Springer Data Science and Engineering paper: Exploring the Semantic Content of Unsupervised Graph Embeddings: An Empirical Study

graph-embedding-methods graph-embeddings-evaluation unsupervised-graph-embeddings

UpdatedOct 19, 2020
Python

eXascaleInfolab /daor

DAOR Parameter-free Embedding Framework for Large Graphs (Networks)

unsupervised-learning cluster-analysis network-embedding network-representation-learning graph-embedding-methods parameter-free-graph-embedding

UpdatedOct 10, 2019
C++

anirban-code-to-live /mirand

Network representation learning technique using structure and attributes of information networks.

network-representation-learning graph-embedding-methods attributed-embedding

UpdatedDec 8, 2022
Python

ocatias /KG_21

Implementation and visualization of the TransE algorithm

visualization graph-embedding-methods

UpdatedMar 19, 2021
Python

yaqinZhou /GEM

graph-embedding-methods

UpdatedJan 25, 2018
Python

ManuSrivastava1 /FrameSemanticParser

natural-language-processing deep-neural-networks semantic-parsing framenet graph-embedding-methods

UpdatedJun 27, 2024
Roff

winguas /graph-datasets

📊 Explore diverse graph datasets for machine learning and network science, focused on enhancing Graph Neural Network applications.

data-mining knowledge-graph graph-database datasets representation-learning network-embedding data-augmentation link-prediction gcn graph-neural-networks knowledge-graph-reasoning graph-embedding-methods deep-clustering knowledge-graph-dataset graph-embeddings-evaluation graphclustering multi-modal-knowledge-graph transductive-reasoning

UpdatedNov 29, 2025

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