Alternatives and similar repositories for few-shot-fgnn:

Users that are interested in few-shot-fgnn are comparing it to the libraries listed below

• daiquanyu / AdaGCN_TKDE
  This paper studies the problem of cross-network node classification to overcome the insufficiency of labeled data in a single network. It…
  ☆25Updated 2 years ago
• TrustAGI-Lab / UDAGCN
  Python implementation of "Unsupervised Domain Adaptive Graph Convolutional Networks", WWW-20.
  ☆55Updated 3 years ago
• yusonghust / MT-MVGCN
  source code for TNNLS paper "Multi-Task Representation Learning with Multi-View Graph Convolutional Networks"
  ☆19Updated 4 years ago
• neu-spiral / GraphTransferLearning-NEU
  Code source for Graph Transfer Learning project developed by Northeastern University's SPIRAL research group
  ☆9Updated 3 years ago
• cszhangzhen / MVPool
  Hierarchical Multi-View Graph Pooling with Structure Learning (TKDE-2021)
  ☆23Updated 2 years ago
• NingMa-AI / AS-MAML
  A meta-learning framework for few-shot graph learning
  ☆18Updated last year
• rynewu224 / GraphDA
  Unsupervised Domain Adaptation on Graphs
  ☆14Updated 2 years ago
• Txinru / MMGCN
  MMGCN：Multi-view Multichannel Attention Graph Convolutional Network for miRNA-disease Association Prediction
  ☆20Updated 3 years ago
• kaize0409 / GPN_Graph-Few-shot
  Implementation of CIKM2020 -- Graph Prototypical Networks for Few-shot Learning on Attributed Networks
  ☆48Updated 3 years ago
• TrustAGI-Lab / MERIT
  [IJCAI 2021] A PyTorch implementation of "Multi-Scale Contrastive Siamese Networks for Self-Supervised Graph Representation Learning".
  ☆40Updated 2 years ago
• kaize0409 / Meta-GDN_AnomalyDetection
  Implementation of TheWebConf 2021 -- Few-shot Network Anomaly Detection via Cross-network Meta-learning
  ☆53Updated 10 months ago
• datake / AdaGCN
  Official Implementation of AdaGCN (ICLR 2021)
  ☆60Updated 3 years ago
• Uchman21 / MLGW
  Code for the paper "Collaborative Graph Walk for Semi-supervised Multi-Label Node Classification" - ICDM 2019
  ☆12Updated last year
• kaize0409 / Meta-PN
  PyTorch Implementation for "Meta Propagation Networks for Graph Few-shot Semi-supervised Learning" (AAAI2022)
  ☆29Updated 2 years ago
• sxu-yaokx / MAGCN
  ☆26Updated 2 years ago
• nairouz / FT-VGAE
  IJCAI 2022- Escaping Feature Twist: A Variational Graph Auto-Encoder for Node Clustering
  ☆21Updated last year
• RUCKBReasoning / ClusterSCL
  The pytorch implementation of Cluster-Aware Supervised Contrastive Learning on Graphs (WWW 2022).
  ☆11Updated 2 years ago
• YuGuangWang / UFG
  ☆35Updated 2 years ago
• mpanpan / SimGRACE
  [WWW 2022] "A Simple Framework for Graph Contrastive Learning without Data Augmentation"
  ☆16Updated 2 years ago
• shuaiOKshuai / RALE
  Relative and Absolute Location Embedding for Few-Shot Node Classification on Graph
  ☆13Updated 2 years ago
• joeybose / Meta-Graph
  Meta-Learning for Few Shot Link Prediction
  ☆49Updated 4 years ago
• Sean-Huang65 / AUX-TS
  official code for our KDD21 paper "Adaptive Transfer Learning on Graph Neural Networks"
  ☆42Updated 2 years ago
• 3480430977 / ACDNE
  ☆11Updated 3 years ago
• qncsn2016 / DeepGWC
  code of DeepGWC: A Deep Graph Wavelet Convolutional Neural Network for Semi-supervised Node Classification
  ☆17Updated last year
• theodoriss / gcn-demo
  Semi-Supervised classification with Graph Convolution Networks using Pytorch
  ☆50Updated 4 years ago
• anonymous-sourcecode / GResNet
  Source code of GResNet
  ☆16Updated 4 years ago
• xjtushujun / Meta-SPL
  Pytorch implementation for Meta-SPL (self-paced learning).
  ☆17Updated 4 years ago
• victorchen96 / ReNode
  Code for Neurips2021 Paper "Topology-Imbalance Learning for Semi-Supervised Node Classification".
  ☆56Updated 3 years ago
• yanghu819 / Graph-MLP
  ☆76Updated 3 years ago
• xdweixia / SGCMC
  The Tensorflow Implementation of paper Self-supervised Graph Convolutional Network For Multi-view Clustering
  ☆33Updated 2 years ago