CRIPAC-DIG / DyGCN
Code for "DyGCN: Dynamic Graph Embedding with Graph Convolutional Network"
☆38Updated last year
Alternatives and similar repositories for DyGCN
Users that are interested in DyGCN are comparing it to the libraries listed below
Sorting:
- Dynamic graph/network dataset for dynamic graph/network embedding/representation☆36Updated 5 years ago
- TREND: TempoRal Event and Node Dynamics for Graph Representation Learning. WWW-2022.☆36Updated last year
- CTGCN: k-core based Temporal Graph Convolutional Network for Dynamic Graphs (accepted by IEEE TKDE in 2020) https://ieeexplore.ieee.org/…☆96Updated last year
- DGL Implementation of ICML 2020 Paper 'Contrastive Multi-View Representation Learning on Graphs'☆64Updated last year
- Reproducing the results of the paper Continuous-time Dynamic Network Embeddings☆30Updated 5 years ago
- [CIKM 2021] A PyTorch implementation of "ANEMONE: Graph Anomaly Detection with Multi-Scale Contrastive Learning".☆49Updated 3 years ago
- Heterogeneous Hypergraph Variational Autoencoder for Link Prediction (T-PAMI 2021)☆32Updated 3 years ago
- The code of paper "A Novel Representation Learning for Dynamic Graphs Based on Graph Convolutional Networks, IEEE Transactions on Cyberne…☆19Updated 2 years ago
- DyHATR (ECML-PKDD 2020)☆44Updated 4 years ago
- ☆76Updated 2 years ago
- KDD'22☆61Updated 2 years ago
- ☆60Updated 4 years ago
- ☆37Updated 3 years ago
- source code for TNNLS paper "Multi-Task Representation Learning with Multi-View Graph Convolutional Networks"☆19Updated 4 years ago
- 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
- ☆39Updated 4 years ago
- PyTorch Implementation for "Discrete-time Temporal Network Embedding via Implicit Hierarchical Learning in Hyperbolic Space (KDD2021)"☆47Updated last year
- Source code for CIKM 2019 paper "Temporal Network Embedding with Micro- and Macro-dynamics"☆37Updated 3 years ago
- [TKDE 2021] A PyTorch implementation of "Generative and Contrastive Self-Supervised Learning for Graph Anomaly Detection".☆46Updated 3 years ago
- Code for "SUGAR: Subgraph Neural Network with Reinforcement Pooling and Self-Supervised Mutual Information Mechanism"☆57Updated 4 years ago
- Learning to Drop: Robust Graph Neural Network via Topological Denoising & Robust Graph Representation Learning via Neural Sparsification☆79Updated 4 years ago
- GCN-GAN: A Non-linear Temporal Link Prediction Model for Weighted Dynamic Networks☆36Updated 5 years ago
- Python 3 supported version for DySAT☆12Updated 2 years ago
- ☆55Updated 3 years ago
- HDGI code☆61Updated 5 years ago
- Official Implementation of AdaGCN (ICLR 2021)☆61Updated 3 years ago
- Pytorch implementation of DySAT: Deep Neural Representation Learning on Dynamic Graphs via Self-Attention Networks☆90Updated 3 years ago
- Code for structural temporal graph neural networks for anomaly detection in dynamic graphs☆23Updated 11 months ago
- Streaming Graph Neural Networks via Continual Learning (CIKM 2020)☆43Updated 4 years ago
- Hypergraph convolution and attention networks research☆14Updated 9 months ago