Dataset for testing graph classification algorithms, such as Graph Kernels and Graph Neural Networks.
☆51Mar 15, 2025Updated last year
Alternatives and similar repositories for Benchmark_dataset_for_graph_classification
Users that are interested in Benchmark_dataset_for_graph_classification are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- implementation of a Deep Kernelized Auto Encoder for learning vectorial representations of mutlivariate time series with missing data.☆18Mar 15, 2025Updated last year
- ☆25Jan 6, 2017Updated 9 years ago
- Official repository for the paper "Sparse Graph Learning from Spatiotemporal Time Series" (JMLR 2023)☆15Dec 7, 2023Updated 2 years ago
- Change Detection in a sequence of Graphs☆21May 4, 2022Updated 4 years ago
- Implement Reservoir Computing models for time series classification, clustering, forecasting, and much more!☆425Mar 15, 2025Updated last year
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- Pytorch (PyG) and Tensorflow (Keras/Spektral) implementation of Total Variation Graph Neural Network (TVGNN), as presented at ICML 2023.☆20Mar 15, 2025Updated last year
- A pytorch-based implementation of Dirichlet Process Mixture Model (DPMM)☆13Apr 20, 2026Updated 2 months ago
- Official repository for the paper "Graph-based Forecasting with Missing Data through Spatiotemporal Downsampling" (ICML 2024)☆16Mar 3, 2025Updated last year
- Official repository for the paper "Scalable Spatiotemporal Graph Neural Networks" (AAAI 2023)☆50Oct 10, 2023Updated 2 years ago
- Archetype Computing / Adapting System for the EMERGE project.☆18May 18, 2026Updated last month
- Distributed Feedback-Looped Networks☆10Jan 15, 2020Updated 6 years ago
- AI-Toolkit collecting and implementing the AI modules for a TEACHING application.☆29Jul 17, 2023Updated 2 years ago
- Adaptive Propagation Graph Convolutional Network☆24Sep 28, 2020Updated 5 years ago
- Reproduces the results of MinCutPool as presented in the 2020 ICML paper "Spectral Clustering with Graph Neural Networks for Graph Poolin…☆278Mar 15, 2025Updated last year
- AI Agents on DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- ☆16May 20, 2020Updated 6 years ago
- Official reference implementation of our paper "Temporal Graph ODEs for Irregularly-Sampled Time Series" accepted at IJCAI 24☆22Apr 17, 2025Updated last year
- ☆62Oct 24, 2020Updated 5 years ago
- Code for Graph Neural Networks Exponentially Lose Expressive Power for Node Classification.☆30May 20, 2020Updated 6 years ago
- ☆14Feb 26, 2019Updated 7 years ago
- Stochastic training of graph convolutional networks☆84Sep 20, 2022Updated 3 years ago
- Official repository for the paper "Graph-based Time Series Clustering for End-to-End Hierarchical Forecasting" (ICML 2024)☆25Jul 25, 2024Updated last year
- Research code for avalanche detection in ground-based photographs with deep learning☆14Jul 10, 2023Updated 2 years ago
- WKPI: A kernel based on persistent homology☆12May 17, 2020Updated 6 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- 遥感模型及数据加载集仓库 『Remote sensing models and dataloader warehouse』☆14Jan 5, 2022Updated 4 years ago
- ☆11Dec 18, 2018Updated 7 years ago
- Python Open Fuzzy Cognitive Maps Library (with Web API)☆19Oct 21, 2018Updated 7 years ago
- ☆25Aug 15, 2020Updated 5 years ago
- Matlab implementation of TCK☆12Jul 5, 2019Updated 7 years ago
- Code for "Understanding Pooling in Graph Neural Networks" (TNNLS 2022).☆60Jun 2, 2022Updated 4 years ago
- Official Repository of "Graph Mixture Density Networks" (ICML 2021)☆28Jul 30, 2022Updated 3 years ago
- Package for performing graphlet decomposition☆11Aug 28, 2019Updated 6 years ago
- A PyTorch implementation of DGCNN based on AAAI 2018 paper "An End-to-End Deep Learning Architecture for Graph Classification"☆65Aug 10, 2023Updated 2 years ago
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- Course: Algorithms for Data Science☆16Feb 7, 2020Updated 6 years ago
- The implementation for the NeurIPS 2022 paper Parameter-free Dynamic Graph Embedding for Link Prediction.☆16Dec 7, 2022Updated 3 years ago
- PPRGo model in PyTorch, as proposed in "Scaling Graph Neural Networks with Approximate PageRank" (KDD 2020)☆128Apr 5, 2022Updated 4 years ago
- NMT based SMILES to IUPAC Translator☆19Jul 16, 2025Updated 11 months ago
- This code is for paper "KDnet-RUL: A knowledge distillation framework to compress deep neural networks for machine remaining learning use…☆19Mar 24, 2023Updated 3 years ago
- Source code of "What Makes Graph Neural Networks Miscalibrated?" (NeurIPS 2022)☆24Jun 9, 2025Updated last year
- implement of paper 'Probabilistic End-to-end Noise Correction for Learning with Noisy Labels'☆16Jul 18, 2019Updated 6 years ago