liuyuaa / GETD
Generalizing Tensor Decomposition for N-ary Relational Knowledge Bases
☆10Updated 5 years ago
Alternatives and similar repositories for GETD
Users that are interested in GETD are comparing it to the libraries listed below
Sorting:
- Knowledge Hypergraphs: Prediction Beyond Binary Relations is a ServiceNow Research project that was started at Element AI.☆31Updated 2 years ago
- Code for NePTuNe: Neural Powered Tucker Network for Knowledge Graph Completion☆16Updated last year
- HyperKG: Hyperbolic Knowledge Graph Embeddings for Knowledge Base Completion☆19Updated last year
- ☆35Updated 7 years ago
- Must-read papers on Knowledge Graph Reasoning (KGR)☆21Updated 5 years ago
- Investigating Robustness and Interpretability of Link Prediction via Adversarial Modifications☆18Updated 4 years ago
- Source code and datasets for EMNLP 2019 paper: Jointly Learning Entity and Relation Representations for Entity Alignment.☆39Updated 4 years ago
- Source code for AAAI 2019 paper "Hyperbolic Heterogeneous Information Network Embedding"☆24Updated 3 years ago
- first commit☆15Updated 4 years ago
- ☆21Updated 2 years ago
- Text-to-network based datasets.☆8Updated 5 years ago
- Guiding Entity Alignment via Adversarial Knowledge Embedding☆16Updated 4 years ago
- Code to train open knowledge graph embeddings and to create a benchmark for open link prediction.☆25Updated last year
- Multi-Hop Logical Reasoning in Knowledge Graphs☆21Updated 3 years ago
- ☆23Updated 4 years ago
- Hypernetwork Knowledge Graph Embeddings☆53Updated 5 years ago
- ☆31Updated 2 years ago
- Contextual Parameter Generation for Knowledge Graph Link Prediction☆22Updated last year
- A set of benchmark repositories for node classification on knowledge graphs. To use, see https://github.com/pbloem/kgbench-loader☆25Updated 2 years ago
- ☆22Updated 3 years ago
- Knowledge Graph Completion with Adaptive Sparse Transfer Matrix☆11Updated 8 years ago
- [KDD 2021, Research Track] DiffMG: Differentiable Meta Graph Search for Heterogeneous Graph Neural Networks☆30Updated 3 years ago
- Efficient, Simple, and Automated Negative Sampling for Knowledge Graph Embedding. VLDBJ 2020.☆12Updated 4 years ago
- Knowledge Association with Hyperbolic Knowledge Graph Embeddings, EMNLP 2020☆41Updated 4 years ago
- Deep active learning framework for link prediction in knowledge graph☆25Updated 4 years ago
- Knowledge Graph Embeddings learned from the structure and literals of knowledge graphs☆44Updated 2 years ago
- ☆29Updated 2 years ago
- Injecting Background Knowledge in Neural Models via Adversarial Set Regularisation☆60Updated 7 years ago
- Non-Sampling Knowledge Graph Embedding☆13Updated 4 years ago
- TorusE☆17Updated 6 years ago