Alternatives and similar repositories for gcnns

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

• edouardpineau / Variational-Recurrent-Neural-Networks-for-Graph-Classification
  Github page for the paper "Variational Recurrent Neural Networks for Graph Classification" presented at the RLGM workshop of ICLR 2019
  ☆13Updated 4 years ago
• dasturge / rgcnn
  Neural Recommender System from "Geometric Matrix Completion with Recurrent Multi-Graph Neural Networks"
  ☆17Updated 6 years ago
• Davidham3 / deeper_insights_into_GCNs
  Deeper insights into graph convolutional networks for semi-supervised learning
  ☆19Updated 6 years ago
• leilani-x / 2019-GraphNeuralNetworksPaperList
  Graph Neural Networks Paper List of 2019 Conferences
  ☆20Updated 5 years ago
• oj9040 / GraphSAGE_RL
  Advancing GraphSAGE with A Data-driven Node Sampling
  ☆26Updated 2 years ago
• aravindsankar28 / Meta-GNN
  Implementation of Meta-GNN in TensorFlow
  ☆47Updated 4 years ago
• chocolates / Predicting-Path-Failure-In-Time-Evolving-Graphs
  The source code of kdd2019 project
  ☆25Updated 4 years ago
• RingBDStack / dynamic_network_embedding
  ☆12Updated 7 years ago
• davide-belli / graphsage-diffpool-classifier
  Implemented a GNN for classification tasks in PyTorch, combining Graph Convolutions and Graph Pooling layers
  ☆33Updated 6 years ago
• yuj-umd / graphRNN
  Codes for the paper "Learning Graph-Level Representations with Gated Recurrent Neural Networks"
  ☆29Updated 6 years ago
• CheriseZhu / GSSNN
  The implementation of our AAAI 2020 paper "GSSNN: Graph Smoothing Splines Neural Network".
  ☆20Updated 4 years ago
• anomic1911 / gcn-graphsage-benchmarking
  This repo contains the experiments performed for link prediction, multi-class classification and pairwise node classification task.
  ☆10Updated 5 years ago
• houchengbin / ABRW
  Attributed Biased Random Walks (ABRW) is an Attributed Network Embedding method
  ☆12Updated 3 years ago
• DM2-ND / CalendarGNN
  Author: Daheng Wang (dwang8@nd.edu). KDD'20. Modeling temporal graphs.
  ☆19Updated last year
• DEEP-PolyU / GraphRNA_KDD19
  Graph Recurrent Networks with Attributed Random Walks
  ☆28Updated last year
• shps / incremental-representation-learning
  Incremental vertex representation learning using random walks and skip-gram model.
  ☆12Updated 6 years ago
• ihollywhy / SPAGAN
  PyTorch Implement for Path Attention Graph Network
  ☆43Updated 6 years ago
• Davidham3 / open-traffic-datasets
  open traffic datasets
  ☆30Updated 6 years ago
• Davidham3 / spatio-temporal-paper-list
  Spatio-temporal modeling 论文列表（主要是graph convolution相关)
  ☆23Updated 5 years ago
• CODE-SUBMIT / Graph_Neighborhood_1
  First and Complementary Neighborhood Combination of Adjacency Matrix for Graph Learning
  ☆20Updated last year
• matenure / mvGAE
  Drug Similarity Integration Through Attentive Multi-view Graph Auto-Encoders (IJCAI 2018)
  ☆32Updated 6 years ago
• ds4dm / sparse-gcn
  Sparse graph attention
  ☆17Updated 6 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
• spindro / AP-GCN
  Adaptive Propagation Graph Convolutional Network
  ☆23Updated 4 years ago
• rootlu / MMDNE
  Source code for CIKM 2019 paper "Temporal Network Embedding with Micro- and Macro-dynamics"
  ☆37Updated 3 years ago
• jennyzhang0215 / GaAN
  ☆53Updated 5 years ago
• CRIPAC-DIG / DyGCN
  Code for "DyGCN: Dynamic Graph Embedding with Graph Convolutional Network"
  ☆38Updated last year
• rakshit-agrawal / LEAP
  LEAP (Learning Edges by Aggregation of Paths)
  ☆12Updated last year
• zetayue / CPA
  Source code for "Improving Attention Mechanism in Graph Neural Networks via Cardinality Preservation" (IJCAI 2020)
  ☆17Updated 9 months ago
• yusonghust / MT-MVGCN
  source code for TNNLS paper "Multi-Task Representation Learning with Multi-View Graph Convolutional Networks"
  ☆19Updated 4 years ago