New structural distributional shifts for evaluating graph models
☆16Oct 25, 2023Updated 2 years ago
Alternatives and similar repositories for structural-graph-shifts
Users that are interested in structural-graph-shifts are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- The implementation of "Joint Learning of Label and Environment Causal Independence for Graph Out-of-Distribution Generalization" (NeurIPS…☆22Nov 4, 2024Updated last year
- A Critical Look at the Evaluation of GNNs under Heterophily: Are We Really Making Progress?☆126Mar 7, 2023Updated 3 years ago
- [ICML 2023] Structural Re-weighting Improves Graph Domain Adaptation (StruRW)☆22Jun 20, 2023Updated 2 years ago
- GOOD: A Graph Out-of-Distribution Benchmark [NeurIPS 2022 Datasets and Benchmarks]☆210Feb 21, 2025Updated last year
- GraphLand: Evaluating Graph Machine Learning Models on Diverse Industrial Data☆36Apr 8, 2026Updated 2 months ago
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- Dataset for the paper: "A multi-task semi-supervised framework for Text2Graph & Graph2Text"☆25Feb 19, 2022Updated 4 years ago
- A curated list of resources for OOD detection with graph data.☆19Dec 30, 2023Updated 2 years ago
- Source code for NeurIPS 2019 paper "Learning Latent Processes from High-Dimensional Event Sequences via Efficient Sampling""☆10Mar 20, 2021Updated 5 years ago
- ☆10Feb 22, 2023Updated 3 years ago
- graph neural networks, information theory, AI for Sciences☆23Apr 6, 2022Updated 4 years ago
- Several graph clustering algorithms in one library☆18Oct 27, 2018Updated 7 years ago
- Code for Mind the Label Shift of Augmentation-based Graph OOD generalization (LiSA) in CVPR 2023. LiSA is a model-agnostic Graph OOD fram…☆16Jun 24, 2023Updated 2 years ago
- The official implementation for ICLR23 paper "GNNSafe: Energy-based Out-of-Distribution Detection for Graph Neural Networks"☆84Jul 27, 2023Updated 2 years ago
- Official implementation for the paper "Learning Substructure Invariance for Out-of-Distribution Molecular Representations" (NeurIPS 2022)…☆61Feb 16, 2023Updated 3 years ago
- 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.
- ☆32Mar 1, 2024Updated 2 years ago
- NeurIPS2022-Debiasing Graph Neural Networks via Learning Disentangled Causal Substructure☆47Nov 13, 2023Updated 2 years ago
- ☆12Jul 17, 2023Updated 2 years ago
- Efficient empirical NTKs in PyTorch☆22Jun 13, 2022Updated 4 years ago
- PyTorch implementation of GraphGLOW: Universal and Generalizable Structure Learning for Graph Neural Networks☆36Jun 28, 2023Updated 2 years ago
- European Summer School on AI Course "Machines Climbing Pearl's Ladder of Causation"☆13Feb 20, 2024Updated 2 years ago
- ☆12Jan 30, 2023Updated 3 years ago
- Codes for "EDG-based Question Decomposition for Complex Question Answering over Knowledge Bases"☆13Nov 12, 2021Updated 4 years ago
- ☆32Oct 13, 2021Updated 4 years ago
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- Pytorch implementation of EvenNet.☆21Oct 25, 2022Updated 3 years ago
- Temporal Network Noise Contrastive Estimation (teneNCE) for Dynamic Link Prediction☆15Aug 31, 2024Updated last year
- Papers about out-of-distribution generalization on graphs.☆169Jun 5, 2023Updated 3 years ago
- [SIGKDD 2023] HardSATGEN: Understanding the Difficulty of Hard SAT Formula Generation and A Strong Structure-Hardness-Aware Baseline☆22Jun 16, 2023Updated 3 years ago
- [NeurIPS 2022 Spotlight] Improving Generative Adversarial Networks via Adversarial Learning in Latent Space☆17Nov 20, 2022Updated 3 years ago
- StableGNN-Generalizing Graph Neural Networks on Out-Of-Distribution Graphs☆26Oct 22, 2023Updated 2 years ago
- ☆18Sep 1, 2019Updated 6 years ago
- Framework for model compression, based on FEDOT.☆16Jun 11, 2026Updated last week
- [NeurIPS 2022] Learning Causally Invariant Representations for Out-of-Distribution Generalization on Graphs☆123Aug 28, 2023Updated 2 years ago
- 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.
- Official PyTorch implementation for the following KDD2022 paper: Variational Inference for Training Graph Neural Networks in Low-Data Re…☆20Oct 20, 2022Updated 3 years ago
- Public repository containing the dataset and code for training the models in "Ten Social Dimensions of Conversations and Relationships" (…☆14Mar 18, 2021Updated 5 years ago
- A benchmark of meaningful graph datasets with tabular node features☆16Oct 29, 2025Updated 7 months ago
- GeoViz: A Multi-View Visual Platform for Spatio-temporal Knowledge Graph☆13May 13, 2024Updated 2 years ago
- Directed Acyclic Tabular GAN (DATGAN) for integrating expert knowledge in synthetic tabular data generation☆18Oct 19, 2024Updated last year
- A collection of papers on Graph Structural Learning (GSL)☆57Jan 8, 2024Updated 2 years ago
- Pytorch implementation for ICLR24:"Online GNN Evaluation Under Test-Time Graph Distribution Shifts"☆16Mar 23, 2024Updated 2 years ago