Showing 6 of 6 projects
A unified, comprehensive, and efficient Python/PyTorch library for reproducing and developing recommendation algorithms.
A distributed system for learning graph embeddings from large-scale graphs with billions of entities and trillions of edges.
A Python library for machine learning on graphs and networks, offering state-of-the-art algorithms for tasks like node classification and link prediction.
A curated list of network embedding techniques, including papers, implementations, and related resources for graph representation learning.
A curated collection of research papers and software for explainable graph machine learning and reasoning.
A curated collection of must-read academic papers on knowledge representation learning and knowledge embedding, with an associated open-source toolkit.
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