seven-echo / Dynamic-graph-datasetLinks
Dynamic graph/network dataset for dynamic graph/network embedding/representation
☆36Updated 5 years ago
Alternatives and similar repositories for Dynamic-graph-dataset
Users that are interested in Dynamic-graph-dataset are comparing it to the libraries listed below
Sorting:
- ☆79Updated 3 years ago
- DyHATR (ECML-PKDD 2020)☆44Updated 5 years ago
- Datasets-for-Heterogeneous-Graph☆136Updated 6 years ago
- (WWW 2021) Source code of PC-GNN☆107Updated 4 years ago
- Python 3 supported version for DySAT☆12Updated 2 years ago
- Learning to Drop: Robust Graph Neural Network via Topological Denoising & Robust Graph Representation Learning via Neural Sparsification☆82Updated 4 years ago
- Pytorch implementation of DySAT: Deep Neural Representation Learning on Dynamic Graphs via Self-Attention Networks☆95Updated 3 years ago
- [ACM Computing Surveys'23] Implementations or refactor of some temporal link prediction/dynamic link prediction methods and summary of re…☆59Updated last year
- The source code of HeCo☆171Updated 3 years ago
- code for "Self-supervised representation learning on dynamic graphs"☆27Updated 4 years ago
- ☆101Updated 4 years ago
- Code of GAMLP for Open Graph Benchmark. KDD‘22☆63Updated 3 years ago
- ☆341Updated last year
- ☆31Updated 3 years ago
- MECCH: Metapath Context Convolution-based Heterogeneous Graph Neural Networks☆22Updated 2 years ago
- Heterogeneous Hypergraph Variational Autoencoder for Link Prediction (T-PAMI 2021)☆36Updated 4 years ago
- Reproducing the results of the paper Continuous-time Dynamic Network Embeddings☆30Updated 6 years ago
- The paper " ComGA:Community-Aware Attributed Graph Anomaly Detection" was accepted by WSDM 2022.☆37Updated 3 years ago
- Code for "DyGCN: Dynamic Graph Embedding with Graph Convolutional Network"☆39Updated last year
- Source code and dataset for KDD 2020 paper "Adaptive Graph Encoder for Attributed Graph Embedding"☆115Updated 2 years ago
- ☆144Updated 2 years ago
- ☆125Updated 2 years ago
- CTGCN: k-core based Temporal Graph Convolutional Network for Dynamic Graphs (accepted by IEEE TKDE in 2020) https://ieeexplore.ieee.org/…☆94Updated 2 weeks ago
- [NeurIPS 2021] Large Scale Learning on Non-Homophilous Graphs: New Benchmarks and Strong Simple Methods☆123Updated 3 years ago
- Source code of AAAI21-Heterogeneous Graph Structure Learning for Graph Neural Networks☆121Updated 3 years ago
- ☆67Updated 4 years ago
- Advances on machine learning of dynamic (temporal) graphs, covering the reading list of recent top academic conferences.☆64Updated 2 years ago
- A Library for Dynamic Graph Learning (NeurIPS 2023)☆287Updated 2 years ago
- Representation learning on dynamic graphs using self-attention networks☆308Updated 2 years ago
- Source code for CIKM 2019 paper "Temporal Network Embedding with Micro- and Macro-dynamics"☆37Updated 4 years ago