Alternatives and similar repositories for Graph_Neural_Net

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

• TachiChan / IJCAI2019_HGAT
  Semi-supervised User Profiling with Heterogeneous Graph Attention Networks, IJCAI 2019.
  ☆48Updated 3 years ago
• masakicktashiro / rgcn_pytorch_implementation
  ☆61Updated 5 years ago
• zhuhm1996 / bgnn
  bilinear graph neural network
  ☆30Updated 5 years ago
• YimiAChack / GraphSTONE
  An implementation of "Graph Structural-topic Neural Network"
  ☆73Updated 5 years ago
• didi / hetsann
  Source Codes of HetSANN in the AAAI'20 paper: An Attention-based Graph Nerual Network for Heterogeneous Structural Learning.
  ☆144Updated 4 years ago
• zhouchunpong / GCN_Keras
  图卷积神经网络 Graph Convolutional Network with Keras
  ☆162Updated 2 years ago
• amy-deng / DynamicGCN
  ☆50Updated 3 years ago
• aravindsankar28 / Meta-GNN
  Implementation of Meta-GNN in TensorFlow
  ☆47Updated 4 years ago
• graph-star-team / graph_star
  Graph Star Net
  ☆110Updated 2 years ago
• benedekrozemberczki / SEAL-CI
  A PyTorch implementation of "Semi-Supervised Graph Classification: A Hierarchical Graph Perspective" (WWW 2019)
  ☆211Updated 2 years ago
• dedekinds / Graph-Embedding
  Four network embedding algorithms(deepwalk, node2vec, TADW ,LINE) for two datasets(Cora, Tencent Weibo)
  ☆98Updated 2 years ago
• cszhangzhen / ANRL
  ANRL: Attributed Network Representation Learning via Deep Neural Networks(IJCAI-2018)
  ☆87Updated 2 years ago
• TeamLab / bert-gcn-for-paper-citation
  ☆46Updated 5 years ago
• dragen1860 / GCN-TF2
  Graph Convolution Network for TensorFlow 2 implementation.
  ☆50Updated 6 years ago
• THUDM / MCNS
  Source code and dataset for KDD 2020 paper "Understanding Negative Sampling in Graph Representation Learning"
  ☆114Updated 4 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…
  ☆33Updated 4 years ago
• babylonhealth / rgat
  A TensorFlow implementation of Relational Graph Attention Networks, paper: https://arxiv.org/abs/1904.05811
  ☆119Updated 3 years ago
• limaosen0 / Variational-Graph-Auto-Encoders
  This is the implementation of paper 'Variational Graph Auto-Encoder' in NIPS Workshop on Bayesian Deep Learning, 2016.
  ☆73Updated 7 years ago
• BUPT-GAMMA / HGAT
  Heterogeneous graph attention network for semi-supervised short text classification (EMNLP 2019, TOIS 2021)
  ☆263Updated 4 years ago
• leilani-x / 2019-GraphNeuralNetworksPaperList
  Graph Neural Networks Paper List of 2019 Conferences
  ☆20Updated 6 years ago
• daiquocnguyen / Caps2NE
  A Capsule Network-based Model for Learning Node Embeddings (CIKM 2020)
  ☆24Updated 4 years ago
• rootlu / RHINE
  Source code for AAAI 2019 paper "Relation Structure-Aware Heterogeneous Information Network Embedding"
  ☆56Updated 4 years ago
• DEEP-PolyU / GraphRNA_KDD19
  Graph Recurrent Networks with Attributed Random Walks
  ☆28Updated 2 years ago
• xchadesi / GPF
  GPF（Graph Processing Flow）：利用图神经网络处理问题的一般化流程
  ☆92Updated 6 years ago
• Villafly / DeepLinker
  ☆26Updated 5 years ago
• benedekrozemberczki / TADW
  An implementation of "Network Representation Learning with Rich Text Information" (IJCAI '15).
  ☆61Updated 3 years ago
• chengsen / Awesome-Graph-Papers
  Collect papers about graph
  ☆76Updated 5 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…
  ☆105Updated last year
• SamJia / CommunityGAN
  A tensorflow implementation of CommunityGAN (Community Detection with Generative Adversarial Nets)
  ☆79Updated 6 years ago
• DEEP-PolyU / AANE_Python
  Accelerated Attributed Network Embedding, SDM 2017
  ☆50Updated 5 years ago