Graph Neural Networks Embedding Tools

There are 10 graph neural networks tools tracked. 1 score above 50 (established tier). The highest-rated is Accenture/AmpliGraph at 56/100 with 2,228 stars and 737 monthly downloads.

Get all 10 projects as JSON

curl "https://pt-edge.onrender.com/api/v1/datasets/quality?domain=embeddings&subcategory=graph-neural-networks&limit=20"

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#	Tool	Score	Tier	Stars	Language
1	Accenture/AmpliGraph Python library for Representation Learning on Knowledge Graphs...	56	Established	2,228	Python
2	benedekrozemberczki/graph2vec A parallel implementation of "graph2vec: Learning Distributed...	43	Emerging	933	Python
3	DeepGraphLearning/graphvite GraphVite: A General and High-performance Graph Embedding System	40	Emerging	1,270	C++
4	bi-graph/Emgraph A Python library for knowledge graph representation learning (graph embedding).	35	Emerging	39	Python
5	nju-websoft/muKG μKG: A Library for Multi-source Knowledge Graph Embeddings and Applications,...	32	Emerging	112	Python
6	XiaShan1227/Graphormer Do Transformers Really Perform Bad for Graph Representation? [NIPS-2021]	24	Experimental	61	Python
7	zjunlp/KNN-KG [NLPCC 2023] Reasoning Through Memorization: Nearest Neighbor Knowledge...	24	Experimental	55	Python
8	soda-inria/ken_embeddings KEN: Relational Data Embeddings	24	Experimental	34	Python
9	cnclabs/ICE ICE: Item Concept Embedding	21	Experimental	89	C++
10	tapadeep/PBGENA Parallelized Binary embedding GENerator for Attributed graphs	15	Experimental	15	Python

Comparisons in this category

AmpliGraph and Emgraph (56 vs 35)