mjDelta / relation-gcn-pytorch

Related projects ⓘ

Alternatives and complementary repositories for relation-gcn-pytorch

• kkteru / r-gcn
  PyToch implementation of R-GCN model for node classification and link prediction
  ☆40Updated 5 years ago
• berlincho / RGCN-pytorch
  Pytorch implementation of Relational GCN for node classification
  ☆68Updated last year
• CRIPAC-DIG / H-GCN
  [IJCAI 2019] Source code and datasets for "Hierarchical Graph Convolutional Networks for Semi-supervised Node Classification"
  ☆118Updated 7 months ago
• dawenzi123 / DAGCN
  Dual Attention Graph Convolutional Network
  ☆87Updated 3 years ago
• limaosen0 / GXN
  Graph Cross Network
  ☆48Updated 4 years ago
• masakicktashiro / rgcn_pytorch_implementation
  ☆61Updated 4 years ago
• JD-AI-Research-Silicon-Valley / SACN
  End-to-end Structure-Aware Convolutional Networks for Knowledge Base Completion
  ☆113Updated 3 years ago
• xjtuwgt / GNN-MAGNA
  ☆50Updated 3 years ago
• psp3dcg / GSAPool
  The Web Conference 2020: Structure-Feature based Graph Self-adaptive Pooling
  ☆28Updated 4 years ago
• allenhaozhu / SSGC
  Implementation for Simple Spectral Graph Convolution in ICLR 2021
  ☆82Updated 2 years ago
• baharefatemi / HypE
  Implementation of Knowledge Hypergraphs: Prediction Beyond Binary Relations
  ☆23Updated 4 years ago
• jennyzhang0215 / GaAN
  ☆51Updated 5 years ago
• malllabiisc / ASAP
  AAAI 2020 - ASAP: Adaptive Structure Aware Pooling for Learning Hierarchical Graph Representations
  ☆99Updated 4 years ago
• Nate1874 / StructPool
  The code for our ICLR paper: StructPool: Structured Graph Pooling via Conditional Random Fields
  ☆57Updated 4 years ago
• BUPT-GAMMA / HGAT
  Heterogeneous graph attention network for semi-supervised short text classification (EMNLP 2019, TOIS 2021)
  ☆256Updated 3 years ago
• murphyyhuang / gnn_hierarchical_pooling
  Graph Neural Network with Hierarchical Pooling for PyTorch: "Hierarchical Graph Representation Learning with Differentiable Pooling".
  ☆75Updated 5 years ago
• AndyJZhao / HGSL
  Source code of AAAI21-Heterogeneous Graph Structure Learning for Graph Neural Networks
  ☆113Updated 2 years ago
• xuehansheng / DualHGCN
  [WWW'21] Multiplex Bipartite Network Embedding using Dual Hypergraph Convolutional Networks
  ☆41Updated 3 years ago
• babylonhealth / rgat
  A TensorFlow implementation of Relational Graph Attention Networks, paper: https://arxiv.org/abs/1904.05811
  ☆114Updated 2 years ago
• thiviyanT / torch-rgcn
  A PyTorch implementation of the Relational Graph Convolutional Network (RGCN).
  ☆119Updated 3 years ago
• wangpf3 / LAN
  Implementation of Logic Attention Network in Tensorflow
  ☆22Updated 3 years ago
• malllabiisc / InteractE
  AAAI 2020 - InteractE: Improving Convolution-based Knowledge Graph Embeddings by Increasing Feature Interactions
  ☆89Updated 4 months ago
• limaosen0 / Variational-Graph-Auto-Encoders
  This is the implementation of paper 'Variational Graph Auto-Encoder' in NIPS Workshop on Bayesian Deep Learning, 2016.
  ☆74Updated 6 years ago
• AvigdorZ / ADaptive-Structural-Fingerprint
  ☆29Updated 4 years ago
• taishan1994 / pytorch_HAN
  异构图神经网络HAN。Heterogeneous Graph Attention Network (HAN) with pytorch
  ☆103Updated last year
• merialdo / research.lpca
  This project analyzes the results of various models for Link Prediction on Knowledge Graphs using Knowledge Graph Embeddings. It allows t…
  ☆72Updated 4 years ago
• zhuhm1996 / bgnn
  bilinear graph neural network
  ☆29Updated 4 years ago
• cheungdaven / QuatE
  Pytorch implementation of Quaternion Knowledge Graph Embeddings.
  ☆108Updated 4 years ago
• JiapengWu / TeMP
  Temporal Message Passing Network for Temporal Knowledge Graph Completion
  ☆57Updated 3 years ago
• TemporalKGTeam / xERTE
  ☆46Updated 3 years ago