amy-deng / colagnn
☆18Updated 2 years ago
Alternatives and similar repositories for colagnn:
Users that are interested in colagnn are comparing it to the libraries listed below
- ☆24Updated last year
- [ECML-PKDD2022] EpiGNN: Exploring Spatial Transmission with Graph Neural Network for Regional Epidemic Forecasting☆25Updated 2 years ago
- ☆47Updated 5 months ago
- ☆52Updated 3 years ago
- Spatial-Temporal Graph ODE Neural Network☆106Updated 3 years ago
- A Data-Driven Graph Generative Model for Temporal Interaction Networks☆34Updated 2 years ago
- [ECMLPKDD22] MepoGNN: Metapopulation Epidemic Forecasting with Graph Neural Networks☆26Updated last year
- PyTorch implementation of "Graph Convolutional Networks for Graphs Containing Missing Features"☆47Updated last year
- [WWW'2023] "AutoST: Automated Spatio-Temporal Graph Contrastive Learning"☆63Updated last year
- TREND: TempoRal Event and Node Dynamics for Graph Representation Learning. WWW-2022.☆36Updated 10 months ago
- [ICDE'2022] "Spatial-Temporal Hypergraph Self-Supervised Learning for Crime Prediction"☆34Updated 2 years ago
- [KDD 2024] Papers about deep learning in epidemic modeling.☆53Updated 5 months ago
- This is the GitHub repository for our ICLR22 paper: "You are AllSet: A Multiset Function Framework for Hypergraph Neural Networks"☆94Updated last year
- [IJCNN 2021] Unified Spatio-Temporal modeling for traffic forecasting using Graph Convolutional Network☆33Updated 6 months ago
- Code for "DyGCN: Dynamic Graph Embedding with Graph Convolutional Network"☆37Updated 11 months ago
- ☆36Updated 3 years ago
- ☆47Updated 2 years ago
- Pytorch implementation of DySAT: Deep Neural Representation Learning on Dynamic Graphs via Self-Attention Networks☆88Updated 2 years ago
- ☆311Updated 8 months ago
- IJCAI‘23 Survey Track: Papers on Graph Pooling (GNN-Pooling)☆114Updated this week
- ☆15Updated 2 years ago
- ☆46Updated 3 years ago
- GraphSAGE and GAT for link prediction.☆89Updated 5 years ago
- A list for GNNs and related works.☆91Updated 2 weeks ago
- [CIKM 2023] This is the official source code of "TrendGCN: Enhancing the Robustness via Adversarial Learning and Joint Spatial-Temporal E…☆48Updated 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
- ☆59Updated 4 years ago
- ☆68Updated 2 years ago
- Pytorch implementation of various Graph Neural Networks (GNNs) for graph classification☆108Updated 4 years ago
- The code of Dynamic Graph Learning Based on Hierarchical Memory for Origin-Destination Demand Prediction☆14Updated 2 years ago