Ratioanle-aware Graph Contrastive Learning codebase
☆44Jun 15, 2023Updated 3 years ago
Alternatives and similar repositories for RGCL
Users that are interested in RGCL are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- [KDD'22] Source codes of "Graph Rationalization with Environment-based Augmentations"☆48Mar 27, 2025Updated last year
- Code and data for the Nature Machine Intelligence paper "Knowledge graph-enhanced molecular contrastive learning with functional prompt".☆11May 16, 2023Updated 3 years ago
- ☆13Oct 24, 2021Updated 4 years ago
- Source code of "Training Free Graph Neural Networks for Graph Matching"☆12Jul 9, 2022Updated 4 years ago
- [KDD'22] Partial Label Learning with Discrimination Augmentation☆10May 21, 2024Updated 2 years ago
- Simple, predictable pricing with DigitalOcean hosting • AdAlways know what you'll pay with monthly caps and flat pricing. Enterprise-grade infrastructure trusted by 600k+ customers.
- [NeurIPS 2023] "Unleashing the Power of Graph Data Augmentation on Covariate Distribution Shift" by Yongduo Sui, Qitian Wu, Jiancan Wu, Q…☆16Nov 6, 2023Updated 2 years ago
- Adversarial Graph Augmentation to Improve Graph Contrastive Learning☆93Dec 2, 2021Updated 4 years ago
- ☆16Sep 10, 2023Updated 2 years ago
- [NeurIPS 2023] "Rethinking Tokenizer and Decoder in Masked Graph Modeling for Molecules"☆41Mar 16, 2024Updated 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
- (ICLR 2022) Discovering Invariant Rationales for Graph Neural Networks☆134Jul 15, 2023Updated 3 years ago
- Model-Agnostic Augmentation for Accurate Graph Classification (WWW 2022)☆20Aug 22, 2025Updated 11 months ago
- Pytorch implementation for ICLR24:"Online GNN Evaluation Under Test-Time Graph Distribution Shifts"☆16Mar 23, 2024Updated 2 years ago
- An official PyTorch implementation of "Certifiably Robust Graph Contrastive Learning" (NeurIPS 2023)☆11Jan 22, 2024Updated 2 years ago
- End-to-end encrypted email - Proton Mail • AdSpecial offer: 40% Off Yearly / 80% Off First Month. All Proton services are open source and independently audited for security.
- AutoGCL: Automated Graph Contrastive Learning via Learnable View Generators (AAAI 2022)☆48Mar 2, 2022Updated 4 years ago
- StableGNN-Generalizing Graph Neural Networks on Out-Of-Distribution Graphs☆26Oct 22, 2023Updated 2 years ago
- Code for EMNLP2023 paper "MolCA: Molecular Graph-Language Modeling with Cross-Modal Projector and Uni-Modal Adapter".☆12Dec 27, 2023Updated 2 years ago
- ☆50Jan 28, 2023Updated 3 years ago
- ☆13Apr 2, 2025Updated last year
- Implementation of the SPN model and the experiments from the LoG 2022 paper "Shortest Path Networks for Graph Property Prediction".☆25Feb 7, 2023Updated 3 years ago
- Graph Masked Autoencoders☆28Aug 28, 2022Updated 3 years ago
- The code of “Prototypical Graph Contrastive Learning”. [TNNLS 2022]☆24Aug 21, 2022Updated 3 years ago
- NeuRec is a comprehensive and flexible Python library for recommendation models that includes a large range of state-of-the-art neural re…☆23Mar 24, 2023Updated 3 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.
- The implementation of "Joint Learning of Label and Environment Causal Independence for Graph Out-of-Distribution Generalization" (NeurIPS…☆22Nov 4, 2024Updated last year
- [NeurIPS 2020] "Graph Contrastive Learning with Augmentations" by Yuning You, Tianlong Chen, Yongduo Sui, Ting Chen, Zhangyang Wang, Yang…☆634Jul 17, 2024Updated 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
- MuLe: Multi-Grained Graph Learning for Multi-Behavior Recommendation (CIKM 2024)☆14Dec 21, 2024Updated last year
- NeurIPS2022-Debiasing Graph Neural Networks via Learning Disentangled Causal Substructure☆47Nov 13, 2023Updated 2 years ago
- Official code implementation for WSDM 23 paper Graph Sequential Neural ODE Process for Link Prediction on Dynamic and Sparse Graphs.☆35May 12, 2023Updated 3 years ago
- [WWW 2022] "A Simple Framework for Graph Contrastive Learning without Data Augmentation"☆19Feb 19, 2022Updated 4 years ago
- [NeurIPS 2022] Learning Causally Invariant Representations for Out-of-Distribution Generalization on Graphs☆122Aug 28, 2023Updated 2 years ago
- PyGCL: A PyTorch Library for Graph Contrastive Learning☆962Feb 17, 2026Updated 5 months ago
- 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.
- agent skill as memory layer☆20Jan 30, 2026Updated 5 months ago
- The code for "SE-GSL: A General and Effective Graph Structure Learning Framework through Structural Entropy Optimization"☆15Mar 10, 2023Updated 3 years ago
- [WWW 2022] "SimGRACE: A Simple Framework for Graph Contrastive Learning without Data Augmentation"☆82Jun 13, 2022Updated 4 years ago
- [ACL 2024] ReactXT: Understanding Molecular “Reaction-ship” via Reaction-Contextualized Molecule-Text Pretraining. by Zhiyuan Liu*, Yaoru…☆30Sep 3, 2024Updated last year
- A Generative Model for Molecules in 3D Space☆12Nov 10, 2021Updated 4 years ago
- Physics-incorporated Graph Neural Network Using Dynamic Higher-Order Spatio-temporal Graphs for Multivariate Time Series Imputation☆16Apr 17, 2026Updated 3 months ago
- ☆11Jan 7, 2019Updated 7 years ago