tensorflow / neural-structured-learningLinks
Training neural models with structured signals.
☆1,008Updated last week
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.☆3,416Updated last year
- Graph Neural Networks with Keras and Tensorflow 2.☆2,394Updated 2 years ago
- GraphVite: A General and High-performance Graph Embedding System☆1,270Updated last year
- Tutorial: Graph Neural Networks for Natural Language Processing at EMNLP 2019 and CODS-COMAD 2020☆788Updated 2 years ago
- A PyTorch implementation of "Capsule Graph Neural Network" (ICLR 2019).☆1,279Updated 2 years ago
- TensorFlow implementations of Graph Neural Networks☆931Updated 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☆1,194Updated 2 years ago
- A comprehensive collection of recent papers on graph deep learning☆3,080Updated 5 years ago
- A model-agnostic visual debugging tool for machine learning☆1,673Updated last year
- A PyTorch Graph Neural Network Library☆376Updated 5 months ago
- StellarGraph - Machine Learning on Graphs☆3,043Updated last year
- Python library assists deep learning on graphs☆568Updated 2 months ago
- PyTorch implementation of the NIPS-17 paper "Poincaré Embeddings for Learning Hierarchical Representations"☆1,747Updated 8 months ago
- A collection of important graph embedding, classification and representation learning papers with implementations.☆4,809Updated 2 years ago
- Model analysis tools for TensorFlow☆1,266Updated 6 months ago
- An autoML framework & toolkit for machine learning on graphs.☆1,135Updated 2 months ago
- A curated list of gradient boosting research papers with implementations.☆1,039Updated last month
- An implementation of "MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing" (ICML 2019).☆404Updated 3 years ago
- Fast & Simple Resource-Constrained Learning of Deep Network Structure☆1,032Updated last week
- Mesh TensorFlow: Model Parallelism Made Easier☆1,625Updated 2 years ago
- Sample Code for Gated Graph Neural Networks☆1,028Updated 6 years ago
- A parallel implementation of "graph2vec: Learning Distributed Representations of Graphs" (MLGWorkshop 2017).☆931Updated 3 years ago
- Easy hyperparameter optimization and automatic result saving across machine learning algorithms and libraries☆708Updated 5 years ago
- Useful extra functionality for TensorFlow 2.x maintained by SIG-addons☆1,710Updated 5 months ago
- Single Headed Attention RNN - "Stop thinking with your head"☆1,180Updated 4 years ago
- Unsupervised Data Augmentation (UDA)☆2,204Updated 4 years ago
- An intuitive approach to creating deep learning models☆372Updated 3 years ago
- A uniform interface to run deep learning models from multiple frameworks☆940Updated 2 years ago
- A PyTorch Implementation of "Watch Your Step: Learning Node Embeddings via Graph Attention" (NeurIPS 2018).☆325Updated 3 years ago