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
• DeepGraphLearning / graphvite
  GraphVite: A General and High-performance Graph Embedding System
  ☆1,241Updated 8 months ago
• facebookresearch / PyTorch-BigGraph
  Generate embeddings from large-scale graph-structured data.
  ☆3,397Updated 11 months ago
• svjan5 / GNNs-for-NLP
  Tutorial: Graph Neural Networks for Natural Language Processing at EMNLP 2019 and CODS-COMAD 2020
  ☆784Updated last year
• benedekrozemberczki / CapsGNN
  A PyTorch implementation of "Capsule Graph Neural Network" (ICLR 2019).
  ☆1,247Updated 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
• microsoft / tf-gnn-samples
  TensorFlow implementations of Graph Neural Networks
  ☆918Updated 2 years ago
• microsoft / ptgnn
  A PyTorch Graph Neural Network Library
  ☆374Updated 3 years ago
• danielegrattarola / spektral
  Graph Neural Networks with Keras and Tensorflow 2.
  ☆2,374Updated last year
• benedekrozemberczki / AttentionWalk
  A PyTorch Implementation of "Watch Your Step: Learning Node Embeddings via Graph Attention" (NeurIPS 2018).
  ☆324Updated 2 years ago
• microsoft / gated-graph-neural-network-samples
  Sample Code for Gated Graph Neural Networks
  ☆1,028Updated 5 years ago
• awslabs / dgl-ke
  High performance, easy-to-use, and scalable package for learning large-scale knowledge graph embeddings.
  ☆1,288Updated last year
• tensorflow / model-analysis
  Model analysis tools for TensorFlow
  ☆1,261Updated this week
• benedekrozemberczki / ClusterGCN
  A PyTorch implementation of "Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks" (KDD 2019).
  ☆792Updated 2 years ago
• VHRanger / nodevectors
  Fastest network node embeddings in the west
  ☆538Updated last month
• stellargraph / stellargraph
  StellarGraph - Machine Learning on Graphs
  ☆2,972Updated 10 months 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 6 years ago
• tkipf / keras-gcn
  Keras implementation of Graph Convolutional Networks
  ☆792Updated 3 years ago
• DeepGraphLearning / GMNN
  Graph Markov Neural Networks
  ☆404Updated 4 years ago
• huggingface / hmtl
  🌊HMTL: Hierarchical Multi-Task Learning - A State-of-the-Art neural network model for several NLP tasks based on PyTorch and AllenNLP
  ☆1,192Updated last year
• benedekrozemberczki / SGCN
  A PyTorch implementation of "Signed Graph Convolutional Network" (ICDM 2018).
  ☆271Updated last year
• mims-harvard / decagon
  Graph convolutional neural network for multirelational link prediction
  ☆456Updated 2 years ago
• Smerity / sha-rnn
  Single Headed Attention RNN - "Stop thinking with your head"
  ☆1,180Updated 3 years ago
• LiyuanLucasLiu / RAdam
  On the Variance of the Adaptive Learning Rate and Beyond
  ☆2,542Updated 3 years ago
• chihming / awesome-network-embedding
  A curated list of network embedding techniques.
  ☆2,602Updated 4 years ago
• dglai / WWW20-Hands-on-Tutorial
  Materials for DGL hands-on tutorial in WWW 2020
  ☆502Updated 3 years ago
• williamleif / graphsage-simple
  Simple reference implementation of GraphSAGE.
  ☆1,005Updated 4 years ago
• tensorflow / addons
  Useful extra functionality for TensorFlow 2.x maintained by SIG-addons
  ☆1,695Updated 5 months ago
• graphdeeplearning / benchmarking-gnns
  Repository for benchmarking graph neural networks
  ☆2,555Updated last year