Alternatives and similar repositories for tf2-gnn

Users that are interested in tf2-gnn are comparing it to the libraries listed below

• microsoft / ptgnn
  A PyTorch Graph Neural Network Library
  ☆376Updated 3 years ago
• microsoft / tf-gnn-samples
  TensorFlow implementations of Graph Neural Networks
  ☆922Updated 2 years ago
• snap-stanford / deepsnap
  Python library assists deep learning on graphs
  ☆558Updated last year
• benedekrozemberczki / AttentionWalk
  A PyTorch Implementation of "Watch Your Step: Learning Node Embeddings via Graph Attention" (NeurIPS 2018).
  ☆326Updated 2 years ago
• benedekrozemberczki / SGCN
  A PyTorch implementation of "Signed Graph Convolutional Network" (ICDM 2018).
  ☆274Updated 2 years ago
• benedekrozemberczki / APPNP
  A PyTorch implementation of "Predict then Propagate: Graph Neural Networks meet Personalized PageRank" (ICLR 2019).
  ☆368Updated 2 years ago
• dglai / KDD20-Hands-on-Tutorial
  Scalable Graph Neural Networks with Deep Graph Library
  ☆151Updated 4 years ago
• EdisonLeeeee / GraphGallery
  GraphGallery is a gallery for benchmarking Graph Neural Networks
  ☆470Updated last year
• benedekrozemberczki / GAM
  A PyTorch implementation of "Graph Classification Using Structural Attention" (KDD 2018).
  ☆273Updated 2 years ago
• lukecavabarrett / pna
  Implementation of Principal Neighbourhood Aggregation for Graph Neural Networks in PyTorch, DGL and PyTorch Geometric
  ☆352Updated last month
• benedekrozemberczki / MixHop-and-N-GCN
  An implementation of "MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing" (ICML 2019).
  ☆405Updated 2 years ago
• benedekrozemberczki / graph2vec
  A parallel implementation of "graph2vec: Learning Distributed Representations of Graphs" (MLGWorkshop 2017).
  ☆925Updated 2 years ago
• dglai / WWW20-Hands-on-Tutorial
  Materials for DGL hands-on tutorial in WWW 2020
  ☆503Updated 4 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…
  ☆277Updated 6 years ago
• dsgiitr / graph_nets
  PyTorch Implementation and Explanation of Graph Representation Learning papers: DeepWalk, GCN, GraphSAGE, ChebNet & GAT.
  ☆1,203Updated 3 months ago
• tensorflow / neural-structured-learning
  Training neural models with structured signals.
  ☆1,004Updated 5 months ago
• google / gcnn-survey-paper
  ☆172Updated 5 years ago
• khuangaf / PyTorch-Geometric-YooChoose
  This is a tutorial for PyTorch Geometric on the YooChoose dataset
  ☆316Updated 6 years ago
• muhanzhang / IGMC
  Inductive graph-based matrix completion (IGMC) from "M. Zhang and Y. Chen, Inductive Matrix Completion Based on Graph Neural Networks, IC…
  ☆364Updated 2 years ago
• Tiiiger / SGC
  official implementation for the paper "Simplifying Graph Convolutional Networks"
  ☆842Updated 3 years ago
• SeongokRyu / Graph-neural-networks
  ☆519Updated 6 years ago
• CUAI / CorrectAndSmooth
  [ICLR 2021] Combining Label Propagation and Simple Models Out-performs Graph Neural Networks (https://arxiv.org/abs/2010.13993)
  ☆289Updated 4 years ago
• JiaxuanYou / P-GNN
  Position-aware Graph Neural Networks
  ☆399Updated 4 years ago
• diningphil / gnn-comparison
  Official Repository of "A Fair Comparison of Graph Neural Networks for Graph Classification", ICLR 2020
  ☆394Updated last year
• snap-stanford / GraphRNN
  ☆423Updated 6 years ago
• CrawlScript / tf_geometric
  Efficient and Friendly Graph Neural Network Library for TensorFlow 1.x and 2.x
  ☆506Updated 6 months ago
• RexYing / gnn-model-explainer
  gnn explainer
  ☆977Updated 10 months ago
• dbusbridge / gcn_tutorial
  A tutorial on Graph Convolutional Neural Networks
  ☆318Updated 4 years ago
• TrustAGI-Lab / graph_datasets
  A Repository of Benchmark Graph Datasets for Graph Classification (31 Graph Datasets In Total).
  ☆290Updated 3 years ago
• benedekrozemberczki / CapsGNN
  A PyTorch implementation of "Capsule Graph Neural Network" (ICLR 2019).
  ☆1,260Updated 2 years ago