Alternatives and similar repositories for GraphsFewShot

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

• huaxiuyao / GFL
  GFL for AAAI 2020
  ☆31Updated 4 years ago
• Luoyadan / BGNN-AAAI
  official PyTorch implementation of paper "Continual Meta-Learning with Bayesian Graph Neural Networks" (AAAI2020)
  ☆63Updated 5 years ago
• kaize0409 / GPN_Graph-Few-shot
  Implementation of CIKM2020 -- Graph Prototypical Networks for Few-shot Learning on Attributed Networks
  ☆48Updated 4 years ago
• vikasverma1077 / GraphMix
  Code for reproducing results in GraphMix paper
  ☆72Updated 2 years ago
• Shen-Lab / SS-GCNs
  [ICML 2020] "When Does Self-Supervision Help Graph Convolutional Networks?" by Yuning You, Tianlong Chen, Zhangyang Wang, Yang Shen
  ☆110Updated 4 years ago
• kaize0409 / Meta-PN
  PyTorch Implementation for "Meta Propagation Networks for Graph Few-shot Semi-supervised Learning" (AAAI2022)
  ☆29Updated 3 years ago
• joeybose / Meta-Graph
  Meta-Learning for Few Shot Link Prediction
  ☆49Updated 4 years ago
• matenure / OTCoarsening
  Unsupervised Learning of Graph Hierarchical Abstractions with Differentiable Coarsening and Optimal Transport
  ☆37Updated 4 years ago
• llan-ml / MetaTNE
  Source code for NeurIPS 2020 paper "Node Classification on Graphs with Few-Shot Novel Labels via Meta Transformed Network Embedding"
  ☆10Updated 4 years ago
• Nate1874 / StructPool
  The code for our ICLR paper: StructPool: Structured Graph Pooling via Conditional Random Fields
  ☆58Updated 5 years ago
• liulu112601 / Gated-Propagation-Net
  NeurIPS 2019 : Learning to Propagate for Graph Meta-Learning
  ☆36Updated 5 years ago
• CrawlScript / Awesome-Graph-Contrastive-Learning
  Collection of resources related with Graph Contrastive Learning.
  ☆34Updated 4 years ago
• TrustAGI-Lab / UDAGCN
  Python implementation of "Unsupervised Domain Adaptive Graph Convolutional Networks", WWW-20.
  ☆58Updated 4 years ago
• bluer555 / KernelGCN
  Codes for NIPS 2019 Paper: Rethinking Kernel Methods for Node Representation Learning on Graphs
  ☆34Updated 5 years ago
• ChengtaiCao / Meta-GNN
  ☆67Updated 2 years ago
• Luodian / IIB
  ☆17Updated 3 years ago
• ihollywhy / DistillGCN.PyTorch
  Source code for "Distilling Knowledge From Graph Convolutional Networks", CVPR'20
  ☆57Updated 2 years ago
• PwnerHarry / Stronger_GCN
  Implementations of "Break the Ceiling: Stronger Multi-scale Deep Graph Convolutional Networks"
  ☆53Updated 11 months ago
• malllabiisc / ConfGCN
  AISTATS 2019: Confidence-based Graph Convolutional Networks for Semi-Supervised Learning
  ☆59Updated 6 years ago
• YuxiangRen / Hierarchical-Graph-Attention-Network
  ☆42Updated 2 years ago
• JunwenBai / MPVAE
  MPVAE: Multivariate Probit Variational AutoEncoder for Multi-Label Classification
  ☆31Updated 10 months ago
• jiaqima / G3NN
  A Flexible Generative Framework for Graph-based Semi-supervised Learning (NeurIPS 2019)
  ☆16Updated 3 years ago
• RUCKBReasoning / ClusterSCL
  The pytorch implementation of Cluster-Aware Supervised Contrastive Learning on Graphs (WWW 2022).
  ☆11Updated 3 years ago
• yang-han / P-reg
  Rethinking Graph Regularization for Graph Neural Networks (AAAI2021)
  ☆34Updated 4 years ago
• suamin / LowFER
  LowFER: Low-rank Bilinear Pooling for Link Prediction (ICML 2020)
  ☆13Updated 2 years ago
• ahujak / IB-IRM
  ☆31Updated 3 years ago
• CheriseZhu / RSHN
  The implementation of our ICDM 2019 paper "Relation Structure-Aware Heterogeneous Graph Neural Network" RSHN.
  ☆18Updated 4 years ago
• zhulf0804 / GCN.PyTorch
  Graph Convolutional Networks for Text Classification.
  ☆46Updated 5 years ago
• huaxiuyao / ARML
  ARML for ICLR 2020
  ☆42Updated 5 years ago
• NingMa-AI / AS-MAML
  A meta-learning framework for few-shot graph learning
  ☆19Updated 2 years ago