Alternatives and similar repositories for fastgae:

Users that are interested in fastgae are comparing it to the libraries listed below

• deezer / linear_graph_autoencoders
  Source code from the NeurIPS 2019 workshop article "Keep It Simple: Graph Autoencoders Without Graph Convolutional Networks" (G. Salha, R…
  ☆132Updated 4 years ago
• 000Justin000 / gnn-residual-correlation
  ☆20Updated 3 years ago
• matenure / OTCoarsening
  Unsupervised Learning of Graph Hierarchical Abstractions with Differentiable Coarsening and Optimal Transport
  ☆36Updated 4 years ago
• seongjunyun / Neo-GNNs
  Neo-GNNs: Neighborhood Overlap-aware Graph Neural Networks for Link Prediction
  ☆38Updated 2 years ago
• twitter-research / sign
  SIGN: Scalable Inception Graph Network
  ☆95Updated 4 years ago
• deezer / gravity_graph_autoencoders
  Source code from the CIKM 2019 article "Gravity-Inspired Graph Autoencoders for Directed Link Prediction" by G. Salha, S. Limnios, R. Hen…
  ☆44Updated last year
• zekarias-tilahun / SelfGNN
  A PyTorch implementation of "SelfGNN: Self-supervised Graph Neural Networks without explicit negative sampling" paper, which appeared in …
  ☆30Updated 3 years ago
• jwzhanggy / SEG-BERT
  Source code of "Segmented GRAPH-BERT Model"
  ☆23Updated 4 years ago
• pbielak / graph-barlow-twins
  The official implementation of the Graph Barlow Twins method with the experimental pipeline
  ☆30Updated last year
• facebookresearch / NARS
  Scalable Graph Neural Networks for Heterogeneous Graphs
  ☆72Updated 4 years ago
• karl-zhao / benchmarking-gnns-pyg
  ☆30Updated last year
• karenlatong / AGC-master
  ☆50Updated 3 years ago
• oj9040 / GraphSAGE_RL
  Advancing GraphSAGE with A Data-driven Node Sampling
  ☆26Updated 2 years ago
• spindro / AP-GCN
  Adaptive Propagation Graph Convolutional Network
  ☆23Updated 4 years ago
• Nate1874 / StructPool
  The code for our ICLR paper: StructPool: Structured Graph Pooling via Conditional Random Fields
  ☆57Updated 4 years ago
• TUM-DAML / pprgo_tensorflow
  PPRGo model in TensorFlow 1, as proposed in "Scaling Graph Neural Networks with Approximate PageRank" (KDD 2020)
  ☆36Updated 2 years ago
• chentingpc / gfn
  Code for "Are Powerful Graph Neural Nets Necessary? A Dissection on Graph Classification"
  ☆51Updated 4 years ago
• DEEP-PolyU / GraphRNA_KDD19
  Graph Recurrent Networks with Attributed Random Walks
  ☆28Updated last year
• samihaija / mixhop
  Official Implementation of ICML 2019 Paper. MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing; an…
  ☆123Updated 5 years ago
• daiquocnguyen / Walk-Transformer
  From Random Walks to Transformer for Learning Node Embeddings (ECML-PKDD 2020) (In Pytorch and Tensorflow)
  ☆42Updated 3 years ago
• plai-group / gae_in_pytorch
  Graph Auto-Encoder in PyTorch
  ☆81Updated last year
• flyingtango / DiGCL
  The PyTorch implementation of Directed Graph Contrastive Learning (DiGCL), NeurIPS-2021
  ☆36Updated 3 years ago
• sunfanyunn / vGraph
  Official code for "vGraph: A Generative Model for Joint CommunityDetection and Node Representation Learning" (NeurIPS 2019)
  ☆45Updated last year
• YuxiangRen / Heterogeneous-Deep-Graph-Infomax
  HDGI code
  ☆61Updated 4 years ago
• tech-srl / bottleneck
  Code for the paper: "On the Bottleneck of Graph Neural Networks and Its Practical Implications"
  ☆94Updated 2 years ago
• ChandlerBang / SelfTask-GNN
  Implementation of paper "Self-supervised Learning on Graphs:Deep Insights and New Directions"
  ☆97Updated last year
• moranbel / tdGraphEmbed
  ☆21Updated last year
• blacker521 / awesome-graph-structure-learning
  A collection of research papers related to graph structure learning(GSL).
  ☆16Updated 2 years ago
• KelestZ / CondGen
  Conditional Structure Generation through Graph Variational Generative Adversarial Nets, NeurIPS 2019.
  ☆54Updated 5 years ago
• HongyangGao / LGCN
  Tensorflow Implementation of Large-Scale Learnable Graph Convolutional Networks (LGCN) KDD18
  ☆46Updated 6 years ago