tensorflow / neural-structured-learningLinks
Training neural models with structured signals.
☆1,008Updated 9 months ago
Alternatives and similar repositories for neural-structured-learning
Users that are interested in neural-structured-learning are comparing it to the libraries listed below
Sorting:
- TensorFlow 2 library implementing Graph Neural Networks☆375Updated 2 years ago
- Generate embeddings from large-scale graph-structured data.☆3,415Updated last year
- GraphVite: A General and High-performance Graph Embedding System☆1,260Updated last year
- Graph Neural Networks with Keras and Tensorflow 2.☆2,389Updated last year
- A PyTorch implementation of "Capsule Graph Neural Network" (ICLR 2019).☆1,274Updated 2 years ago
- Tutorial: Graph Neural Networks for Natural Language Processing at EMNLP 2019 and CODS-COMAD 2020☆789Updated 2 years ago
- A PyTorch Graph Neural Network Library☆376Updated 2 months ago
- PyTorch implementation of the NIPS-17 paper "Poincaré Embeddings for Learning Hierarchical Representations"☆1,737Updated 5 months ago
- A model-agnostic visual debugging tool for machine learning☆1,669Updated 9 months ago
- Model analysis tools for TensorFlow☆1,268Updated 3 months ago
- TensorFlow implementations of Graph Neural Networks☆929Updated 2 years ago
- Python library assists deep learning on graphs☆565Updated 2 years ago
- 🌊HMTL: Hierarchical Multi-Task Learning - A State-of-the-Art neural network model for several NLP tasks based on PyTorch and AllenNLP☆1,194Updated 2 years ago
- Build Graph Nets in Tensorflow☆5,386Updated 2 years ago
- Single Headed Attention RNN - "Stop thinking with your head"☆1,182Updated 3 years ago
- Fast & Simple Resource-Constrained Learning of Deep Network Structure☆1,032Updated 4 months ago
- Easy hyperparameter optimization and automatic result saving across machine learning algorithms and libraries☆707Updated 4 years ago
- Useful extra functionality for TensorFlow 2.x maintained by SIG-addons☆1,707Updated 2 months ago
- StellarGraph - Machine Learning on Graphs☆3,034Updated last year
- An implementation of "MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing" (ICML 2019).☆404Updated 3 years ago
- A parallel implementation of "graph2vec: Learning Distributed Representations of Graphs" (MLGWorkshop 2017).☆927Updated 3 years ago
- A PyTorch Implementation of "Watch Your Step: Learning Node Embeddings via Graph Attention" (NeurIPS 2018).☆325Updated 3 years ago
- Python library for Representation Learning on Knowledge Graphs https://docs.ampligraph.org☆2,224Updated 11 months ago
- Sample Code for Gated Graph Neural Networks☆1,026Updated 6 years ago
- Source code/webpage/demos for the What-If Tool☆982Updated 2 months ago
- torchbearer: A model fitting library for PyTorch☆641Updated last year
- Fast and flexible AutoML with learning guarantees.☆3,460Updated last year
- Unsupervised Data Augmentation (UDA)☆2,201Updated 4 years ago
- A curated list of gradient boosting research papers with implementations.☆1,032Updated last year
- Fastest network node embeddings in the west☆554Updated 10 months ago