Alternatives and similar repositories for relational-gcn

Users that are interested in relational-gcn are comparing it to the libraries listed below

• MichSchli / RelationPrediction
  Implementation of R-GCNs for Relational Link Prediction
  ☆457Updated 2 years ago
• danielegrattarola / keras-gat
  Keras implementation of the graph attention networks (GAT) by Veličković et al. (2017; https://arxiv.org/abs/1710.10903)
  ☆488Updated 4 years ago
• williamleif / graphsage-simple
  Simple reference implementation of GraphSAGE.
  ☆1,022Updated 5 years ago
• matenure / FastGCN
  The sample codes for our ICLR18 paper "FastGCN: Fast Learning with Graph Convolutional Networks via Importance Sampling""
  ☆526Updated 4 years ago
• Tiiiger / SGC
  official implementation for the paper "Simplifying Graph Convolutional Networks"
  ☆843Updated 3 years ago
• malllabiisc / CompGCN
  ICLR 2020: Composition-Based Multi-Relational Graph Convolutional Networks
  ☆620Updated 10 months ago
• weihua916 / powerful-gnns
  How Powerful are Graph Neural Networks?
  ☆1,219Updated 3 years ago
• tkipf / keras-gcn
  Keras implementation of Graph Convolutional Networks
  ☆791Updated 4 years ago
• TimDettmers / ConvE
  Convolutional 2D Knowledge Graph Embeddings resources
  ☆679Updated last year
• kimiyoung / planetoid
  Semi-supervised learning with graph embeddings
  ☆921Updated 5 years ago
• twjiang / graphSAGE-pytorch
  A PyTorch implementation of GraphSAGE. This package contains a PyTorch implementation of GraphSAGE.
  ☆652Updated last year
• RexYing / diffpool
  ☆491Updated 4 years ago
• palash1992 / DynamicGEM
  ☆352Updated 5 years ago
• PetarV- / DGI
  Deep Graph Infomax (https://arxiv.org/abs/1809.10341)
  ☆642Updated 2 years ago
• benedekrozemberczki / ClusterGCN
  A PyTorch implementation of "Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks" (KDD 2019).
  ☆799Updated 2 years ago
• acbull / pyHGT
  Code for "Heterogeneous Graph Transformer" (WWW'20), which is based on pytorch_geometric
  ☆841Updated last year
• tkipf / gae
  Implementation of Graph Auto-Encoders in TensorFlow
  ☆1,691Updated 5 years ago
• Jhy1993 / Representation-Learning-on-Heterogeneous-Graph
  Representation-Learning-on-Heterogeneous-Graph
  ☆441Updated 5 years ago
• chuxuzhang / KDD2019_HetGNN
  code of HetGNN
  ☆406Updated 5 years ago
• Jhy1993 / HAN
  Heterogeneous Graph Neural Network
  ☆1,143Updated 5 years ago
• hwwang55 / GraphGAN
  A tensorflow implementation of GraphGAN (Graph Representation Learning with Generative Adversarial Nets)
  ☆536Updated 5 years ago
• deepakn97 / relationPrediction
  ACL 2019: Learning Attention-based Embeddings for Relation Prediction in Knowledge Graphs
  ☆530Updated 4 years ago
• JiaxuanYou / P-GNN
  Position-aware Graph Neural Networks
  ☆399Updated 4 years ago
• sungyongs / graph-based-nn
  Graph Convolutional Networks (GCNs)
  ☆918Updated 7 years ago
• INK-USC / RE-Net
  Recurrent Event Network: Autoregressive Structure Inference over Temporal Knowledge Graphs (EMNLP 2020)
  ☆446Updated 3 years ago
• THUDM / GATNE
  Source code and dataset for KDD 2019 paper "Representation Learning for Attributed Multiplex Heterogeneous Network"
  ☆531Updated 3 years ago
• muhanzhang / SEAL
  SEAL (learning from Subgraphs, Embeddings, and Attributes for Link prediction). "M. Zhang, Y. Chen, Link Prediction Based on Graph Neural…
  ☆656Updated 3 years ago
• DeepGraphLearning / GMNN
  Graph Markov Neural Networks
  ☆409Updated 4 years ago
• woojeongjin / dynamic-KG
  Dynamic (Temporal) Knowledge Graph Completion (Reasoning)
  ☆595Updated 4 years ago
• RexYing / gnn-model-explainer
  gnn explainer
  ☆967Updated 9 months ago