Alternatives and similar repositories for Awesome-Adversarial-Sample-on-Graph:

Users that are interested in Awesome-Adversarial-Sample-on-Graph are comparing it to the libraries listed below

• aravindsankar28 / Meta-GNN
  Implementation of Meta-GNN in TensorFlow
  ☆47Updated 3 years ago
• liqimai / gcn
  Implementation of Graph Convolutional Networks in TensorFlow
  ☆45Updated 6 years ago
• daiquanyu / AdvT4NE_WWW2019
  Adversarial Training Methods for Network Embedding, WWW2019.
  ☆27Updated 5 years ago
• malllabiisc / ConfGCN
  AISTATS 2019: Confidence-based Graph Convolutional Networks for Semi-Supervised Learning
  ☆59Updated 5 years ago
• leilani-x / 2019-GraphNeuralNetworksPaperList
  Graph Neural Networks Paper List of 2019 Conferences
  ☆20Updated 5 years ago
• joeybose / Flexible-Fairness-Constraints
  Code for ICML2019 Paper "Compositional Invariance Constraints for Graph Embeddings"
  ☆50Updated 4 years ago
• thu-ml / stochastic_gcn
  Stochastic training of graph convolutional networks
  ☆84Updated 2 years ago
• CRIPAC-DIG / GraphAIR
  [PR 2021] Code for "GraphAIR: Graph Representation Learning with Neighborhood Aggregation and Interaction"
  ☆12Updated 3 years ago
• vwz / AGE
  Active Learning for Graph Embedding
  ☆32Updated 7 years ago
• shuowang-ai / GeniePath-pytorch
  This is a PyTorch implementation of the GeniePath model in <GeniePath: Graph Neural Networks with Adaptive Receptive Paths> (https://arxi…
  ☆104Updated 7 months ago
• HKUST-KnowComp / semihin
  source code for the paper "Semi-supervised Learning over Heterogeneous Information Networks by Ensemble of Meta-graph Guided Random Walks…
  ☆31Updated 7 years ago
• cszhangzhen / ANRL
  ANRL: Attributed Network Representation Learning via Deep Neural Networks(IJCAI-2018)
  ☆85Updated last year
• vikasverma1077 / GraphMix
  Code for reproducing results in GraphMix paper
  ☆72Updated 2 years ago
• acbull / LADIES
  Code for NeurIPS'19 "Layer-Dependent Importance Sampling for Training Deep and Large Graph Convolutional Networks"
  ☆76Updated 2 years ago
• hwwang55 / GCN-LPA
  A tensorflow implementation of GCN-LPA
  ☆99Updated 5 years ago
• GTmac / HARP
  Code for the AAAI 2018 Paper "HARP: Hierarchical Representation Learning for Networks"
  ☆116Updated last year
• THUDM / GraphSGAN
  Implementation of "GraphSGAN", a GAN-based semi-supervised learning algorithm for graph data.
  ☆86Updated 5 years ago
• CrickWu / GCMC
  Code for Graph Convolutional Matrix Factorization for Bipartite Edge Prediction
  ☆55Updated 6 years ago
• oj9040 / GraphSAGE_RL
  Advancing GraphSAGE with A Data-driven Node Sampling
  ☆26Updated 2 years ago
• xhuang31 / LANE
  Label Informed Attributed Network Embedding, WSDM 2017
  ☆37Updated 5 years ago
• MdAsifKhan / DNGR-Keras
  Learning graph representations using autoencoder
  ☆51Updated 8 years ago
• DEEP-PolyU / GraphRNA_KDD19
  Graph Recurrent Networks with Attributed Random Walks
  ☆28Updated last year
• rootlu / RHINE
  Source code for AAAI 2019 paper "Relation Structure-Aware Heterogeneous Information Network Embedding"
  ☆55Updated 4 years ago
• karenlatong / AGC-master
  ☆50Updated 3 years ago
• rootlu / MMDNE
  Source code for CIKM 2019 paper "Temporal Network Embedding with Micro- and Macro-dynamics"
  ☆37Updated 3 years ago
• qitianwu / DANSER-WWW-19
  ☆82Updated 5 years ago
• ChandlerBang / SelfTask-GNN
  Implementation of paper "Self-supervised Learning on Graphs:Deep Insights and New Directions"
  ☆97Updated last year
• CRIPAC-DIG / H-GCN
  [IJCAI 2019] Source code and datasets for "Hierarchical Graph Convolutional Networks for Semi-supervised Node Classification"
  ☆121Updated 10 months ago
• thomastiotto / DiffPool
  TensorFlow 2.0 implementation of MNIST classification using Graph Convolutional Network
  ☆17Updated 5 years ago
• fenglixu / RecoGCN
  A tensorflow implementation of the RecoGCN model in a CIKM'19 paper, titled with "Relation-Aware Graph Convolutional Networks for Agent-I…
  ☆32Updated 4 years ago