Alternatives and similar repositories for GCN-GAN-for-Weighted-Dynamic-Networks

Users that are interested in GCN-GAN-for-Weighted-Dynamic-Networks are comparing it to the libraries listed below

• jiangqn / GCN-GAN-pytorch
  A pytorch implemention of GCN-GAN for temporal link prediction.
  ☆104Updated 5 years ago
• CRIPAC-DIG / DyGCN
  Code for "DyGCN: Dynamic Graph Embedding with Graph Convolutional Network"
  ☆38Updated last year
• ruizhang-ai / WGCN_Graph-Convolutional-Networks-with-Weighted-Structural-Features
  WGCN: Graph Convolutional Networks with Weighted Structural Features, SIGIR 2021
  ☆24Updated 4 years ago
• alge24 / DyGNN
  ☆60Updated 4 years ago
• FeiGSSS / DySAT_pytorch
  Pytorch implementation of DySAT: Deep Neural Representation Learning on Dynamic Graphs via Self-Attention Networks
  ☆90Updated 3 years ago
• johnny12150 / DySAT_python3
  Python 3 supported version for DySAT
  ☆12Updated 2 years ago
• jhljx / CTGCN
  CTGCN: k-core based Temporal Graph Convolutional Network for Dynamic Graphs (accepted by IEEE TKDE in 2020) https://ieeexplore.ieee.org/…
  ☆96Updated last year
• KuroginQin / OpenTLP
  [ACM Computing Surveys'23] Implementations or refactor of some temporal link prediction/dynamic link prediction methods and summary of re…
  ☆57Updated 6 months ago
• ronghangzhu / CensNet
  ☆68Updated 2 years ago
• asFeng / kergnns
  ☆30Updated 3 years ago
• amin-salehi / GATE
  Graph Attention Auto-Encoders
  ☆75Updated 2 years ago
• cgao-comp / DGCN
  The code of paper "A Novel Representation Learning for Dynamic Graphs Based on Graph Convolutional Networks, IEEE Transactions on Cyberne…
  ☆19Updated 2 years ago
• KimMeen / SL-GAD
  [TKDE 2021] A PyTorch implementation of "Generative and Contrastive Self-Supervised Learning for Graph Anomaly Detection".
  ☆46Updated 3 years ago
• skx300 / DyHATR
  DyHATR (ECML-PKDD 2020)
  ☆44Updated 4 years ago
• jianz94 / e-lstm-d
  souece code of e-lstm-d
  ☆21Updated 4 years ago
• KnowledgeDiscovery / StrGNN
  Code for structural temporal graph neural networks for anomaly detection in dynamic graphs
  ☆23Updated 11 months ago
• Harryi0 / dyrep_torch
  ☆39Updated 4 years ago
• seven-echo / Dynamic-graph-dataset
  Dynamic graph/network dataset for dynamic graph/network embedding/representation
  ☆36Updated 5 years ago
• deezer / gravity_graph_autoencoders
  Source code from the CIKM 2019 article "Gravity-Inspired Graph Autoencoders for Directed Link Prediction" by G. Salha, S. Limnios, R. Hen…
  ☆45Updated last year
• TrustAGI-Lab / ANEMONE
  [CIKM 2021] A PyTorch implementation of "ANEMONE: Graph Anomaly Detection with Multi-Scale Contrastive Learning".
  ☆49Updated 3 years ago
• thunlp / AGE
  Source code and dataset for KDD 2020 paper "Adaptive Graph Encoder for Attributed Graph Embedding"
  ☆114Updated last year
• zxj32 / GCN-GRU
  Deep Learning for Predicting Dynamic Uncertain Opinions in Network Data
  ☆28Updated 5 years ago
• snap-stanford / CAW
  ☆76Updated 2 years ago
• PolarisRisingWar / HGNN_Collection
  A Collection for HGNN (Heterogenous Graph Neural Network), including datasets, algorithms and so on.
  ☆56Updated last year
• yusonghust / MT-MVGCN
  source code for TNNLS paper "Multi-Task Representation Learning with Multi-View Graph Convolutional Networks"
  ☆19Updated 4 years ago
• marlin-codes / HTGN
  PyTorch Implementation for "Discrete-time Temporal Network Embedding via Implicit Hierarchical Learning in Hyperbolic Space (KDD2021)"
  ☆47Updated last year
• raunakkmr / GraphSAGE-and-GAT-for-link-prediction
  GraphSAGE and GAT for link prediction.
  ☆91Updated 5 years ago
• kenyonke / LinkPredictionGCN
  ☆21Updated last year
• safe-graph / RioGNN
  Reinforced Neighborhood Selection Guided Multi-Relational Graph Neural Networks
  ☆75Updated 7 months ago
• LiuChuang0059 / graph-pooling-papers
  IJCAI‘23 Survey Track: Papers on Graph Pooling (GNN-Pooling)
  ☆114Updated last month