TuckER
Knowledge Graph Completion Library
A PyTorch implementation of tensor factorization for knowledge graph completion
TuckER: Tensor Factorization for Knowledge Graph Completion
353 stars
11 watching
59 forks
Language: Python
last commit: over 1 year ago
Linked from 2 awesome lists
bharathgs/awesome-pytorch-list
chihming/awesome-network-embeddingRelated projects:
| Repository | Description | Stars |
|---|---|---|
| ibalazevic/hyper | Implementing knowledge graph embeddings using hypernetworks in PyTorch. | 53 |
 pykeen/pykeen | A Python library for learning and evaluating knowledge graph embeddings | 1,708 |
 benedekrozemberczki/seal-ci | A PyTorch implementation of a semi-supervised graph classification model that learns hierarchical representations from labeled and unlabeled graph data. | 209 |
 mnick/scikit-tensor | A Python library for tensor factorizations and multilinear algebra operations | 403 |
 stared/thinking-in-tensors-writing-in-pytorch | A hands-on introduction to deep learning using PyTorch, explaining mathematical concepts through code examples | 331 |
 kaiyangzhou/dassl.pytorch | A PyTorch toolbox for supporting research and development of domain adaptation, generalization, and semi-supervised learning methods in computer vision. | 1,236 |
 wkentaro/pytorch-for-numpy-users | Provides a PyTorch interface for working with NumPy arrays and tensors. | 691 |
 hjmshi/pytorch-lbfgs | A PyTorch implementation of L-BFGS optimization algorithm for training neural networks | 591 |
 ikostrikov/pytorch-meta-optimizer | A PyTorch implementation of meta-learning using gradient descent to adapt to new tasks. | 312 |
 jacobgil/pytorch-pruning | This project provides a PyTorch implementation of pruning techniques to reduce the computational resources required for neural network inference. | 877 |
 kimhc6028/relational-networks | A PyTorch implementation of a neural network module for relational reasoning in computer vision tasks | 809 |
| benedekrozemberczki/pytorch_geometric_temporal | A PyTorch extension for building temporal graph neural networks with support for recurrent and attention-based models | 2,694 |
 graal-research/poutyne | A PyTorch framework simplifying neural network training with automated boilerplate code and callback utilities | 572 |
 morph-kgc/morph-kgc | Generates RDF knowledge graphs from diverse data sources using standardized mapping languages and optimized algorithms | 195 |
 szagoruyko/functional-zoo | Repository providing pre-trained models and model definitions for PyTorch and TensorFlow using a functional programming style | 587 |