A collection of research on knowledge graphs

Insightful Tutorials and Papers about Knowledge Graphs

Dynamic (Temporal) Knowledge Graph Completion (Reasoning)

TypeDB-ML is the Machine Learning integrations library for TypeDB

[WWWJ 2024] LLMs for Knowledge Graph Construction and Reasoning: Recent Capabilities and Future Opportunities

[Tool] For Knowledge Graph Representation Learning

Datasets for Knowledge Graph Completion with textual information about the entities

[Paper][AAAI 2025] (MyGO)Tokenization, Fusion, and Augmentation: Towards Fine-grained Multi-modal Entity Representation

Implementations of Embedding-based methods for Knowledge Base Completion tasks

The code of paper Learning Hierarchy-Aware Knowledge Graph Embeddings for Link Prediction. Zhanqiu Zhang, Jianyu Cai, Yongdong Zhang, Jie Wang. AAAI 2020.

[Paper][ACM MM 2024] Making Large Language Models Perform Better in Knowledge Graph Completion

ACL 2022, SimKGC: Simple Contrastive Knowledge Graph Completion with Pre-trained Language Models

A Novel Embedding Model for Knowledge Base Completion Based on Convolutional Neural Network (NAACL 2018) (Pytorch and Tensorflow)

Implementation of TransE model in PyTorch.

ACL 2020: A Re-evaluation of Knowledge Graph Completion Methods

A Capsule Network-based Embedding Model for Knowledge Graph Completion and Search Personalization (NAACL 2019)

SimplE Embedding for Link Prediction in Knowledge Graphs

[Neurocomputing 2023] Relational Graph Transformer for Knowledge Graph Representation

End-to-end Structure-Aware Convolutional Networks for Knowledge Base Completion

ConMask model described in paper Open-world Knowledge Graph Completion.

AAAI 2020 - InteractE: Improving Convolution-based Knowledge Graph Embeddings by Increasing Feature Interactions

Knowledge Base Question Answering using memory networks

Embedding Projection for Knowledge Graph Completion

A Survey of Task-Oriented Knowledge Graph Reasoning: Status, Applications, and Prospects

No description provided.

Graph Neural Networks for Knowledge Graph Link Prediction (WSDM 2022) (Pytorch)

Some papers on knowledge graph embedding

STransE: a novel embedding model of entities and relationships in knowledge bases (NAACL 2016)

[Paper][SIGIR 2024] NativE: Multi-modal Knowledge Graph Completion in the Wild

The code of paper Duality-Induced Regularizer for Tensor Factorization Based Knowledge Graph Completion. Zhanqiu Zhang, Jianyu Cai, Jie Wang. NeurIPS 2020.