cheungdaven / QuatELinks
Pytorch implementation of Quaternion Knowledge Graph Embeddings.
☆109Updated 5 years ago
Alternatives and similar repositories for QuatE
Users that are interested in QuatE are comparing it to the libraries listed below
Sorting:
- A Capsule Network-based Embedding Model for Knowledge Graph Completion and Search Personalization (NAACL 2019)☆144Updated 4 years ago
- AAAI 2020 - InteractE: Improving Convolution-based Knowledge Graph Embeddings by Increasing Feature Interactions☆89Updated last year
- End-to-end Structure-Aware Convolutional Networks for Knowledge Base Completion☆113Updated 4 years ago
- Multi-relational Poincaré Graph Embeddings☆160Updated 5 years ago
- ☆104Updated 5 years ago
- Learning to Exploit Long-term Relational Dependencies in Knowledge Graphs, ICML 2019☆100Updated 5 years ago
- ACL 2020: A Re-evaluation of Knowledge Graph Completion Methods☆146Updated 2 years ago
- Combining relational context and relational paths for knowledge graph completion☆136Updated 3 years ago
- Implementation of SimplE Embedding for Link Prediction in Knowledge Graphs in PyTorch☆118Updated 4 years ago
- A Novel Embedding Model for Knowledge Base Completion Based on Convolutional Neural Network (NAACL 2018) (Pytorch and Tensorflow)☆204Updated 4 years ago
- This is the code for ACL paper "Cross-lingual Knowledge Graph Alignment via Graph Matching Neural Network"☆110Updated 6 years ago
- Hyperbolic Knowledge Graph embeddings.☆254Updated 4 years ago
- EMNLP 2018: HyTE: Hyperplane-based Temporally aware Knowledge Graph Embedding☆172Updated 6 years ago
- A knowledge base completion method which handles temporal metadata☆76Updated 3 years ago
- Dynamically Pruned Message Passing Networks☆41Updated 2 years ago
- Source code for the EMNLP 2019 paper "Meta Relational Learning for Few-Shot Link Prediction in Knowledge Graphs"☆112Updated last year
- Hypernetwork Knowledge Graph Embeddings☆53Updated 5 years ago
- SimplE Embedding for Link Prediction in Knowledge Graphs☆145Updated 5 years ago
- Code for One-shot Relational Learning for Knowledge Graphs (EMNLP18)☆240Updated 5 years ago
- Generative Adversarial Zero-Shot Relational Learning for Knowledge Graphs☆48Updated 4 years ago
- Transformer-based Memory Networks for Knowledge Graph Embeddings (ACL 2020) (Pytorch and Tensorflow)☆82Updated 3 years ago
- TuckER: Tensor Factorization for Knowledge Graph Completion☆361Updated last year
- Source codes and datasets for EMNLP 2019 paper "Adapting Meta Knowledge Graph Information for Multi-Hop Reasoning over Few-Shot Relations…☆115Updated last year
- Knowledge Graph Alignment Network with Gated Multi-hop Neighborhood Aggregation, AAAI 2020☆99Updated 3 years ago
- ☆145Updated 4 years ago
- 📝 A collection of common datasets used in knowledge embedding☆147Updated 5 years ago
- The code of paper Learning Hierarchy-Aware Knowledge Graph Embeddings for Link Prediction. Zhanqiu Zhang, Jianyu Cai, Yongdong Zhang, Jie…☆256Updated 4 years ago
- Implementation code for ICML '17 paper "Deep Temporal Reasoning for Dynamic Knowledge Graphs"☆110Updated 7 years ago
- Code and dataset for paper "Universal Representation Learning of Knowledge Bases by Jointly Embedding Instances and Ontological Concepts"…☆83Updated 5 years ago
- Contextual Parameter Generation for Knowledge Graph Link Prediction☆22Updated last year