Alternatives and similar repositories for neural-structured-learning:

Users that are interested in neural-structured-learning are comparing it to the libraries listed below

• microsoft / tf2-gnn
  TensorFlow 2 library implementing Graph Neural Networks
  ☆369Updated last year
• microsoft / ptgnn
  A PyTorch Graph Neural Network Library
  ☆375Updated 2 years ago
• danielegrattarola / spektral
  Graph Neural Networks with Keras and Tensorflow 2.
  ☆2,372Updated 11 months ago
• facebookresearch / PyTorch-BigGraph
  Generate embeddings from large-scale graph-structured data.
  ☆3,394Updated 10 months ago
• DeepGraphLearning / graphvite
  GraphVite: A General and High-performance Graph Embedding System
  ☆1,238Updated 7 months ago
• awslabs / dgl-ke
  High performance, easy-to-use, and scalable package for learning large-scale knowledge graph embeddings.
  ☆1,282Updated last year
• microsoft / tf-gnn-samples
  TensorFlow implementations of Graph Neural Networks
  ☆917Updated 2 years ago
• tensorflow / model-analysis
  Model analysis tools for TensorFlow
  ☆1,259Updated last week
• google-research / uda
  Unsupervised Data Augmentation (UDA)
  ☆2,183Updated 3 years ago
• microsoft / gated-graph-neural-network-samples
  Sample Code for Gated Graph Neural Networks
  ☆1,029Updated 5 years ago
• svjan5 / GNNs-for-NLP
  Tutorial: Graph Neural Networks for Natural Language Processing at EMNLP 2019 and CODS-COMAD 2020
  ☆784Updated last year
• snap-stanford / deepsnap
  Python library assists deep learning on graphs
  ☆555Updated last year
• benedekrozemberczki / MixHop-and-N-GCN
  An implementation of "MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing" (ICML 2019).
  ☆403Updated 2 years ago
• benedekrozemberczki / CapsGNN
  A PyTorch implementation of "Capsule Graph Neural Network" (ICLR 2019).
  ☆1,245Updated last year
• facebookresearch / poincare-embeddings
  PyTorch implementation of the NIPS-17 paper "Poincaré Embeddings for Learning Hierarchical Representations"
  ☆1,689Updated 5 months ago
• DeepGraphLearning / LiteratureDL4Graph
  A comprehensive collection of recent papers on graph deep learning
  ☆3,075Updated 4 years ago
• benedekrozemberczki / AttentionWalk
  A PyTorch Implementation of "Watch Your Step: Learning Node Embeddings via Graph Attention" (NeurIPS 2018).
  ☆323Updated 2 years ago
• benedekrozemberczki / graph2vec
  A parallel implementation of "graph2vec: Learning Distributed Representations of Graphs" (MLGWorkshop 2017).
  ☆908Updated 2 years ago
• yazdotai / graph-networks
  A list of interesting graph neural networks (GNN) links with a primary interest in recommendations and tensorflow that is continually upd…
  ☆276Updated 5 years ago
• benedekrozemberczki / APPNP
  A PyTorch implementation of "Predict then Propagate: Graph Neural Networks meet Personalized PageRank" (ICLR 2019).
  ☆366Updated 2 years ago
• tensorflow / addons
  Useful extra functionality for TensorFlow 2.x maintained by SIG-addons
  ☆1,693Updated 4 months ago
• google-research / morph-net
  Fast & Simple Resource-Constrained Learning of Deep Network Structure
  ☆1,023Updated 8 months ago
• VHRanger / nodevectors
  Fastest network node embeddings in the west
  ☆536Updated 3 weeks ago
• benedekrozemberczki / Splitter
  A Pytorch implementation of "Splitter: Learning Node Representations that Capture Multiple Social Contexts" (WWW 2019).
  ☆212Updated last year
• benedekrozemberczki / SGCN
  A PyTorch implementation of "Signed Graph Convolutional Network" (ICDM 2018).
  ☆271Updated last year
• google / gcnn-survey-paper
  ☆173Updated 5 years ago
• Accenture / AmpliGraph
  Python library for Representation Learning on Knowledge Graphs https://docs.ampligraph.org
  ☆2,180Updated last month
• Sujit-O / pykg2vec
  Python library for knowledge graph embedding and representation learning.
  ☆610Updated 3 years ago
• tkipf / keras-gcn
  Keras implementation of Graph Convolutional Networks
  ☆792Updated 3 years ago
• google-deepmind / jraph
  A Graph Neural Network Library in Jax
  ☆1,398Updated 9 months ago