Size-Invariant Graph Representations for Graph Classification Extrapolations (ICML 2021 Long Talk)
☆22Jan 26, 2023Updated 3 years ago
Alternatives and similar repositories for size-invariant-GNNs
Users that are interested in size-invariant-GNNs 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
- ☆25Jul 15, 2021Updated 4 years ago
- Extending the Neural Graph Algorithm Executor☆13Dec 8, 2022Updated 3 years ago
- Code for the paper "SizeShiftReg: a Regularization Method for Improving Size-Generalization in Graph Neural Networks"☆12Jan 17, 2023Updated 3 years ago
- Code for "Towards Scale-Invariant Graph-related Problem Solving by Iterative Homogeneous GNNs" (NeurIPS 2020)☆18Jan 8, 2021Updated 5 years ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- GOODAT: Towards Test-time Graph Out-of-Distribution Detection☆12Mar 18, 2024Updated 2 years ago
- GOOD: A Graph Out-of-Distribution Benchmark [NeurIPS 2022 Datasets and Benchmarks]☆209Feb 21, 2025Updated last year
- Learnable Global Pooling Layers Based on Regularized Optimal Transport (ROT)☆16Mar 17, 2024Updated 2 years ago
- ☆16Sep 10, 2023Updated 2 years ago
- The paper "Deep Graph Level Anomaly Detection with Contrastive Learning" has been accepted by Scientific Reports Journal.☆11Feb 10, 2023Updated 3 years ago
- Code for Neural Execution Engines: Learning to Execute Subroutines☆18Jan 11, 2021Updated 5 years ago
- [CVPR 2024] Improving out-of-distribution generalization in graphs via hierarchical semantic environments☆14Apr 17, 2025Updated last year
- ☆12May 31, 2021Updated 4 years ago
- ☆32Sep 22, 2021Updated 4 years ago
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- Offcial Repo of Paper "Eliminating Position Bias of Language Models: A Mechanistic Approach""☆22Jun 13, 2025Updated 10 months ago
- Graph Metric Learning in PyTorch☆10Apr 7, 2021Updated 5 years ago
- [ICML 2024] How Interpretable Are Interpretable Graph Neural Networks?☆16Jun 27, 2024Updated last year
- "Shift-Robust GNNs: Overcoming the Limitations of Localized Graph Training Data" (NeurIPS 21')☆49Jun 3, 2022Updated 3 years ago
- Code for the ICLR 2019 paper "Invariant and Equiovariant Graph Networks"☆25May 20, 2020Updated 5 years ago
- ☆21Mar 29, 2021Updated 5 years ago
- ☆26Jun 7, 2022Updated 3 years ago
- Graph Homomorphism Convolution (ICML'20)☆12Jul 6, 2023Updated 2 years ago
- Active Test-Time Adaptation: Theoretical Analyses and An Algorithm [ICLR 2024]☆27Nov 4, 2024Updated last year
- Wordpress hosting with auto-scaling - Free Trial • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- Research repository for the proposed equivariant graph attention network that operates on large biomolecules proposed by Le et al. (2022)☆20Dec 1, 2022Updated 3 years ago
- Code for "Weisfeiler and Leman go sparse: Towards higher-order graph embeddings"☆21Jan 27, 2022Updated 4 years ago
- Almost Surely Stable Deep Dynamics [NeurIPS 2020]☆12Dec 8, 2022Updated 3 years ago
- ☆20Jan 17, 2024Updated 2 years ago
- Source code for the Joint Shapley values: a measure of joint feature importance☆12Sep 14, 2021Updated 4 years ago
- Exercises for the Dafny Tutorial☆14May 21, 2018Updated 7 years ago
- A python implementation of discrete optimal transport with a Tsallis entropy regularization.☆14Oct 23, 2023Updated 2 years ago
- Custom graph/network/multi-weighted network class based on storing list of neighbors for each nodes (as opposed to edge list) for scalabl…☆11Jan 18, 2024Updated 2 years ago
- The official code for NAACL 2024 paper: $E^5$: Zero-shot Hierarchical Table Analysis using Augmented LLMs via Explain, Extract, Execute, …☆15Jun 23, 2024Updated last year
- 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.
- Implementation codes for NeurIPS23 paper "Spectral Invariant Learning for Dynamic Graphs under Distribution Shifts"☆14Mar 19, 2024Updated 2 years ago
- L4DC2021 code repository☆14Apr 14, 2021Updated 5 years ago
- Expressive Power of Invariant and Equivariant Graph Neural Networks (ICLR 2021)☆43Aug 25, 2023Updated 2 years ago
- Locally corrected Nyström (LCN), as proposed in "Scalable Optimal Transport in High Dimensions for Graph Distances, Embedding Alignment, …☆19Apr 26, 2023Updated 2 years ago
- A Quasi-Wasserstein Loss for Learning Graph Neural Networks (QW loss)☆10May 20, 2024Updated last year
- Flow Annealed Importance Sampling Bootstrap (FAB). ICLR 2023.☆68Mar 11, 2024Updated 2 years ago
- ☆11Jan 24, 2021Updated 5 years ago