danielecastellana22 / torch_dpmmLinks
A pytorch-based implementation of Dirichlet Process Mixture Model (DPMM)
☆12Updated 8 months ago
Alternatives and similar repositories for torch_dpmm
Users that are interested in torch_dpmm are comparing it to the libraries listed below
Sorting:
- Official code repository for the papers "Anti-Symmetric DGN: a stable architecture for Deep Graph Networks" accepted at ICLR 2023; "Non-D…☆13Updated 7 months ago
- Official repository for the paper "Scalable Spatiotemporal Graph Neural Networks" (AAAI 2023)☆49Updated last year
- Pytorch (PyG) and Tensorflow (Keras/Spektral) implementation of Total Variation Graph Neural Network (TVGNN), as presented at ICML 2023.☆20Updated 4 months ago
- Synthetic graph generator☆12Updated last year
- Graph Echo State Networks for Pytorch☆24Updated 2 years ago
- Official reference implementation of our paper "Temporal Graph ODEs for Irregularly-Sampled Time Series" accepted at IJCAI 24☆19Updated 3 months ago
- Official Repository of "Graph Mixture Density Networks" (ICML 2021)☆26Updated 3 years ago
- Continual Learning with Gated Incremental Memories for Sequential Data Processing. IJCNN 2020. Continual Learning with Recurrent Neural N…☆15Updated 3 years ago
- ☆68Updated 2 years ago
- Graph Posterior Network: Bayesian Predictive Uncertainty for Node Classification (NeurIPS 2021)☆43Updated 2 years ago
- Official website for "Continual Learning on Graphs: Challenges, Solutions, and Opportunities"☆50Updated last year
- A python package providing a benchmark with various specified distribution shift patterns.☆58Updated last year
- ☆54Updated 3 years ago
- Python package for graph-based clustering and semi-supervised learning☆94Updated 4 months ago
- Neural Dynamics on Complex Networks☆53Updated 4 years ago
- Official repository for the paper "Sparse Graph Learning from Spatiotemporal Time Series" (JMLR 2023)☆16Updated last year
- Code for the paper: Amortized Causal Discovery: Learning to Infer Causal Graphs from Time-Series Data☆217Updated 3 years ago
- Dataset for testing graph classification algorithms, such as Graph Kernels and Graph Neural Networks.☆50Updated 4 months ago
- Uncertainty Aware Semi-Supervised Learning on Graph Data☆38Updated 4 years ago
- Differentiable DAG Sampling (ICLR 2022)☆37Updated 3 years ago
- Repository for ICLR 2023 work, "Sequential Latent Variable Models for Few-Shot High-Dimensional Time-Series Forecasting"☆31Updated 11 months ago
- Official source code for "Graph Neural Networks for Learning Equivariant Representations of Neural Networks". In ICLR 2024 (oral).☆81Updated last year
- FedRay: a Research Framework for Federated Learning based on Ray☆22Updated 8 months ago
- Implementation of "Just Balance GNN" for graph classification and node clustering from the paper "Simplifying Clusterings with Graph Neur…☆36Updated 3 months ago
- Official code for the CVPR 2022 (oral) paper "OrphicX: A Causality-Inspired Latent Variable Model for Interpreting Graph Neural Networks.…☆35Updated 3 years ago
- ☆13Updated 4 years ago
- ☆93Updated 2 years ago
- Official code for the ICML 2021 paper "Generative Causal Explanations for Graph Neural Networks."☆67Updated 3 years ago
- Code accompanying "Dynamic Neural Relational Inference" from CVPR 2020☆60Updated 4 years ago
- Reinforced Causal Explainer for Graph Neural Networks, TPAMI2022☆36Updated 3 years ago