Code for AAAI-2024 paper: Graph Contrastive Invariant Learning from the Causal Perspective
☆29Mar 11, 2024Updated 2 years ago
Alternatives and similar repositories for GCIL
Users that are interested in GCIL 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
- StableGNN-Generalizing Graph Neural Networks on Out-Of-Distribution Graphs☆26Oct 22, 2023Updated 2 years ago
- source code of AAAI 2024 paper "Graph Invariant Learning with Subgraph Co-mixup for Out-Of-Distribution Generalization".☆18Apr 29, 2024Updated 2 years ago
- The official implementation of DiG-In-GNN (AAAI 2024)☆25Mar 26, 2024Updated 2 years ago
- [AAAI 2024] Official repository for "Rethinking Dimensional Rationale in Graph Contrastive Learning from Causal Perspective"☆14Dec 8, 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.
- Neighbor Contrastive Learning on Learnable Graph Augmentation☆39Jun 25, 2024Updated last year
- Implementation codes for NeurIPS23 paper "Spectral Invariant Learning for Dynamic Graphs under Distribution Shifts"☆14Mar 19, 2024Updated 2 years ago
- ☆51Jan 28, 2023Updated 3 years ago
- Code of CVPR 2023 paper Meta-causal Learning for Single Domain Generalization☆20Oct 7, 2023Updated 2 years ago
- ☆16Sep 29, 2024Updated last year
- This repository is for the implementation of SGWN.☆14Oct 12, 2024Updated last year
- ☆19Sep 4, 2025Updated 8 months ago
- [WWW2024 Oral] "Graph Out-of-Distribution Generalization via Causal Intervention”.☆27Oct 23, 2024Updated last year
- M-band Wavelet Network for Anomaly Detection from a Frequency Perspective☆14May 14, 2025Updated last year
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- [ECCV 2024] Official Implementation of "Disentangling Masked Autoencoders for Unsupervised Domain Generalization"☆14Jul 31, 2024Updated last year
- MECCH: Metapath Context Convolution-based Heterogeneous Graph Neural Networks☆22Jan 29, 2024Updated 2 years ago
- ICCV 2023☆11May 20, 2024Updated 2 years ago
- Reimplementation of AAAI21 paper "Beyond Low-frequency Information in Graph Convolutional Networks" based on PyTorch and PyTorch Geometri…☆24Sep 27, 2022Updated 3 years ago
- Pytorch implementation of EvenNet.☆21Oct 25, 2022Updated 3 years ago
- Official pytorch implementation of Contrastive Single Domain Generalization via Unsupervised Diversity Augmentatio☆11Oct 16, 2024Updated last year
- This repository contains the code of the pulished paper "G-NAS: Generalizable Neural Architecture Search for Single Domain Generalization…☆22Jul 9, 2024Updated last year
- The implementation for DropMessage.☆23Mar 9, 2023Updated 3 years ago
- Rethinking Multi-domain Generalization with A General Learning Objective, accepted by cvpr24☆21Nov 18, 2024Updated last year
- 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.
- Official implementation of MARIO: Model Agnostic Recipe for Improving OOD Generalization of Graph Contrastive Learning☆19Jan 27, 2024Updated 2 years ago
- Official code for the ICCV23 paper: "Domain Generalization via Rationale Invariance"☆20Jan 18, 2025Updated last year
- [MSSP] Dual Disentanglement Domain Generalization Method for Rotating Machinery Fault Diagnosis☆35Jul 6, 2025Updated 10 months ago
- The appendix and core code of model CauSTG, for accepted paper in KDD 2023.☆12Jun 15, 2023Updated 2 years ago
- [KDD'23] Learning Strong Graph Neural Networks with Weak Information☆44May 24, 2023Updated 2 years ago
- The official source code for Similarity Preserving Adversarial Graph Contrastive Learning (SP-AGCL) at KDD 2023.☆23Jan 18, 2024Updated 2 years ago
- ☆12May 12, 2025Updated last year
- Source code for the paper "Dual Contrastive Learning Network for Graph Clustering"☆12Jan 9, 2024Updated 2 years ago
- Official Repository for "Towards Generalizing to Unseen Domains with Few Labels". (CVPR-24)☆24Sep 3, 2024Updated last year
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- ☆10Feb 22, 2023Updated 3 years ago
- ☆25Dec 16, 2023Updated 2 years ago
- [KDD 2022] "Causal Attention for Interpretable and Generalizable Graph Classification" by Yongduo Sui, Xiang Wang, Jiancan Wu, Min Lin, X…☆96Nov 16, 2023Updated 2 years ago
- This work is the official Pytorch implementation of our papers: Source-Free Progressive Graph Learning for Open-Set Domain Adaptation (T…☆29Feb 7, 2024Updated 2 years ago
- ☆11Nov 8, 2021Updated 4 years ago
- Domain Generalization by Learning and Removing Domain-specific Features, NeurIPS 2022☆27Jul 3, 2023Updated 2 years ago
- [NeurIPS 2023] SimMMDG: A Simple and Effective Framework for Multi-modal Domain Generalization☆76May 23, 2025Updated 11 months ago