Hierarchical Transformers for Knowledge Graph Embeddings (EMNLP 2021)

[ACL 2024] Learning Low-dimensional Multi-domain Knowledge Graph Embedding via Dual Archimedean Spirals

RulE: Neural-Symbolic Knowledge Graph Reasoning with Rule Embedding

ARCE: Approximate Rotary Compositional Embedding for Memory Efficient Deep Recommender Systems

An Open-Source Package for Knowledge Embedding (KE)

Hardware-agnostic Framework for Large-scale Knowledge Graph Embeddings

Knowledge Graph Fine-Tuning with Open-World Knowledge

A Python toolbox to compute topological metrics and statistics for Knowledge Graphs

[AAAI 2023] IterDE: An Iterative Knowledge Distillation Framework for Knowledge Graph Embeddings

The official Pytorch implementation of the paper Neural Compositional Rule Learning for Knowledge Graph Reasoning