tensorflow / neural-structured-learningLinks
Training neural models with structured signals.
☆1,005Updated 6 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☆374Updated 2 years ago
- Generate embeddings from large-scale graph-structured data.☆3,411Updated last year
- GraphVite: A General and High-performance Graph Embedding System☆1,252Updated last year
- Graph Neural Networks with Keras and Tensorflow 2.☆2,381Updated last year
- Tutorial: Graph Neural Networks for Natural Language Processing at EMNLP 2019 and CODS-COMAD 2020☆786Updated 2 years ago
- A PyTorch Graph Neural Network Library☆376Updated 3 years ago
- StellarGraph - Machine Learning on Graphs☆3,022Updated last year
- Model analysis tools for TensorFlow☆1,270Updated 2 weeks ago
- Easy hyperparameter optimization and automatic result saving across machine learning algorithms and libraries☆707Updated 4 years ago
- A PyTorch implementation of "Capsule Graph Neural Network" (ICLR 2019).☆1,261Updated 2 years ago
- TensorFlow implementations of Graph Neural Networks☆921Updated 2 years ago
- Fast & Simple Resource-Constrained Learning of Deep Network Structure☆1,031Updated last month
- An autoML framework & toolkit for machine learning on graphs.☆1,113Updated 11 months ago
- Python library assists deep learning on graphs☆561Updated last year
- A model-agnostic visual debugging tool for machine learning☆1,669Updated 5 months ago
- An implementation of "MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing" (ICML 2019).☆405Updated 2 years ago
- Useful extra functionality for TensorFlow 2.x maintained by SIG-addons☆1,700Updated 4 months ago
- PyTorch implementation of the NIPS-17 paper "Poincaré Embeddings for Learning Hierarchical Representations"☆1,729Updated 2 months ago
- A PyTorch Implementation of "Watch Your Step: Learning Node Embeddings via Graph Attention" (NeurIPS 2018).☆326Updated 2 years ago
- Code for the TCAV ML interpretability project☆643Updated last month
- A parallel implementation of "graph2vec: Learning Distributed Representations of Graphs" (MLGWorkshop 2017).☆924Updated 2 years ago
- Sample Code for Gated Graph Neural Networks☆1,028Updated 5 years ago
- Mesh TensorFlow: Model Parallelism Made Easier☆1,613Updated last year
- A curated list of gradient boosting research papers with implementations.☆1,020Updated last year
- Hyperparameter optimization that enables researchers to experiment, visualize, and scale quickly.☆338Updated 4 years ago
- DeText: A Deep Neural Text Understanding Framework for Ranking and Classification Tasks☆1,268Updated 2 years ago
- Unsupervised Data Augmentation (UDA)☆2,194Updated 3 years ago
- 🌊HMTL: Hierarchical Multi-Task Learning - A State-of-the-Art neural network model for several NLP tasks based on PyTorch and AllenNLP☆1,196Updated 2 years ago
- A comprehensive collection of recent papers on graph deep learning☆3,084Updated 4 years ago
- Interpretability Methods for tf.keras models with Tensorflow 2.x☆1,029Updated last year