A collection of research on knowledge graphs
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Updated
Oct 7, 2022 - JavaScript
A collection of research on knowledge graphs
Dynamic (Temporal) Knowledge Graph Completion (Reasoning)
TypeDB-ML is the Machine Learning integrations library for TypeDB
Implementations of Embedding-based methods for Knowledge Base Completion tasks
[Tool] For Knowledge Graph Representation Learning
Datasets for Knowledge Graph Completion with textual information about the entities
The code of paper Learning Hierarchy-Aware Knowledge Graph Embeddings for Link Prediction. Zhanqiu Zhang, Jianyu Cai, Yongdong Zhang, Jie Wang. AAAI 2020.
Embedding Projection for Knowledge Graph Completion
A Novel Embedding Model for Knowledge Base Completion Based on Convolutional Neural Network (NAACL 2018) (Pytorch and Tensorflow)
Implementation of TransE model in PyTorch.
SimplE Embedding for Link Prediction in Knowledge Graphs
ConMask model described in paper Open-world Knowledge Graph Completion.
A Capsule Network-based Embedding Model for Knowledge Graph Completion and Search Personalization (NAACL 2019)
Knowledge Base Question Answering using memory networks
End-to-end Structure-Aware Convolutional Networks for Knowledge Base Completion
ACL 2022, SimKGC: Simple Contrastive Knowledge Graph Completion with Pre-trained Language Models
LLMs for Knowledge Graph Construction and Reasoning: Recent Capabilities and Future Opportunities
ACL 2020: A Re-evaluation of Knowledge Graph Completion Methods
AAAI 2020 - InteractE: Improving Convolution-based Knowledge Graph Embeddings by Increasing Feature Interactions
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