tensorflow / neural-structured-learningLinks
Training neural models with structured signals.
☆1,006Updated 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☆375Updated 2 years ago
- Generate embeddings from large-scale graph-structured data.☆3,410Updated last year
- Graph Neural Networks with Keras and Tensorflow 2.☆2,380Updated last year
- GraphVite: A General and High-performance Graph Embedding System☆1,256Updated last year
- A PyTorch implementation of "Capsule Graph Neural Network" (ICLR 2019).☆1,265Updated 2 years ago
- A PyTorch Graph Neural Network Library☆375Updated 3 years ago
- StellarGraph - Machine Learning on Graphs☆3,021Updated last year
- Easy hyperparameter optimization and automatic result saving across machine learning algorithms and libraries☆708Updated 4 years ago
- TensorFlow implementations of Graph Neural Networks☆924Updated 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☆1,195Updated 2 years ago
- Python library assists deep learning on graphs☆563Updated last year
- An implementation of "MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing" (ICML 2019).☆405Updated 2 years ago
- A parallel implementation of "graph2vec: Learning Distributed Representations of Graphs" (MLGWorkshop 2017).☆924Updated 2 years ago
- A comprehensive collection of recent papers on graph deep learning☆3,084Updated 4 years ago
- A PyTorch Implementation of "Watch Your Step: Learning Node Embeddings via Graph Attention" (NeurIPS 2018).☆326Updated 2 years ago
- Hyperparameter optimization that enables researchers to experiment, visualize, and scale quickly.☆339Updated 4 years ago
- Build Graph Nets in Tensorflow☆5,385Updated 2 years ago
- PyTorch implementation of the NIPS-17 paper "Poincaré Embeddings for Learning Hierarchical Representations"☆1,730Updated 3 months ago
- Python library for Representation Learning on Knowledge Graphs https://docs.ampligraph.org☆2,218Updated 9 months ago
- An intuitive approach to creating deep learning models☆373Updated 2 years ago
- Fast & Simple Resource-Constrained Learning of Deep Network Structure☆1,031Updated 2 months ago
- High performance, easy-to-use, and scalable package for learning large-scale knowledge graph embeddings.☆1,316Updated 2 weeks ago
- A curated list of gradient boosting research papers with implementations.☆1,023Updated last year
- A collection of important graph embedding, classification and representation learning papers with implementations.☆4,792Updated 2 years ago
- Model analysis tools for TensorFlow☆1,269Updated 2 weeks ago
- Single Headed Attention RNN - "Stop thinking with your head"☆1,182Updated 3 years ago
- TypeDB-ML is the Machine Learning integrations library for TypeDB☆551Updated last year
- Fastest network node embeddings in the west☆551Updated 7 months ago
- Shape and dimension inference (Keras-like) for PyTorch layers and neural networks☆570Updated 3 years ago
- A model-agnostic visual debugging tool for machine learning☆1,669Updated 6 months ago