Code for TNNLS paper "Homophily-Enhanced Self-supervision for Graph Structure Learning: Insights and Directions"
☆15Feb 27, 2024Updated 2 years ago
Alternatives and similar repositories for Homophily-Enhanced-Self-supervision
Users that are interested in Homophily-Enhanced-Self-supervision are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- WWW2021: Interpreting and Unifying Graph Neural Networks with An Optimization Framework☆14Jun 23, 2021Updated 4 years ago
- Code for ECML-PKDD 2022 paper "GraphMixup: Improving Class-Imbalanced Node Classification by Reinforcement Mixup and Self-supervised Cont…☆24Jun 7, 2023Updated 2 years ago
- The code for "SE-GSL: A General and Effective Graph Structure Learning Framework through Structural Entropy Optimization"☆15Mar 10, 2023Updated 3 years ago
- ☆21Feb 24, 2025Updated last year
- [KDD 2022] Implementation of "Feature Overcorrelation in Deep Graph Neural Networks: A New Perspective"☆45Jan 6, 2024Updated 2 years ago
- Serverless GPU API endpoints on Runpod - Get Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- ☆10Feb 22, 2023Updated 3 years ago
- [ICML'24] BAT: 🚀 Boost Class-imbalanced Node Classification with <10 lines of Code | 从拓扑视角出发10行代码改善类别不平衡节点分类☆27Nov 27, 2024Updated last year
- [WSDM'23] GOOD-D: On Unsupervised Graph Out-Of-Distribution Detection☆46Mar 2, 2023Updated 3 years ago
- A collection of papers on Graph Structural Learning (GSL)☆57Jan 8, 2024Updated 2 years ago
- n awesome&curated list of the advanced graph data-centric (i.e., graph sparsification, graph denoise, graph condensation) learning papers☆17Jun 9, 2025Updated 11 months ago
- An official source code for paper "Normality Learning-based Graph Anomaly Detection via Multi-Scale Contrastive Learning", accepted by AC…☆12Dec 1, 2023Updated 2 years ago
- ☆18Jul 2, 2023Updated 2 years ago
- This is the official repository for NeurIPS 2023 paper "Curriculum Learning for Graph Neural Networks: Which Edges Should We Learn First"☆17Oct 27, 2023Updated 2 years ago
- A comprehensive benchmark of Graph Structure Learning (NeurIPS 2023 Datasets and Benchmarks Track)☆123Feb 29, 2024Updated 2 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.
- Code for ICML 2023 paper "Quantifying the Knowledge in GNNs for Reliable Distillation into MLPs"☆22Sep 24, 2025Updated 8 months ago
- ☆19May 13, 2026Updated 2 weeks ago
- A curated list of awesome graph structure learning approaches☆41Nov 24, 2024Updated last year
- Code for NeurIPS 2022 paper "Rethinking and Scaling Up Graph Contrastive Learning: An Extremely Efficient Approach with Group Discriminat…☆56Mar 6, 2023Updated 3 years ago
- [ICLR 2022] Implementation of paper "Automated Self-Supervised Learning for Graphs"☆42Jul 25, 2022Updated 3 years ago
- [WSDM 2022] Efficient Graph Convolution for Joint Node Representation Learning and Clustering☆20Jan 26, 2024Updated 2 years ago
- [NeurIPS'23] Source code of "Data-Centric Learning from Unlabeled Graphs with Diffusion Model": A data-centric transfer learning framewor…☆22Jun 4, 2025Updated 11 months ago
- Source code for the paper "Dual Contrastive Learning Network for Graph Clustering"☆12Jan 9, 2024Updated 2 years ago
- [TNNLS 2023] An official source code for paper "Simple Contrastive Graph Clustering".☆41Mar 2, 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.
- ☆31Oct 10, 2021Updated 4 years ago
- [NeurIPS'24] ARC: A Generalist Graph Anomaly Detector with In-Context Learning☆34Feb 10, 2026Updated 3 months ago
- TAM: Topology-Aware Margin Loss for Class-Imbalanced Node Classification☆72Oct 19, 2023Updated 2 years ago
- [PR 2021] Code for "GraphAIR: Graph Representation Learning with Neighborhood Aggregation and Interaction"☆12Aug 25, 2021Updated 4 years ago
- Code for ICLR'24 Paper "Decoupling Weighing and Selecting for Integrating Multiple Graph Pre-training Tasks"☆10Mar 12, 2024Updated 2 years ago
- ☆13Nov 21, 2025Updated 6 months ago
- ☆10Nov 29, 2022Updated 3 years ago
- Self-Weighted Contrastive Learning among Multiple Views for Mitigating Representation Degeneration☆11Oct 23, 2023Updated 2 years ago
- GCAGC, CVPR2020, GCAGC-Inst, TMM2021. Adaptive Graph Convolutional Network with Attention Graph Clustering for Co-saliency Detection☆38Jul 27, 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.
- ☆16Feb 26, 2023Updated 3 years ago
- PyTorch implementation of GraphGLOW: Universal and Generalizable Structure Learning for Graph Neural Networks☆36Jun 28, 2023Updated 2 years ago
- The official codes and implementations of the UnGSL method in the paper: **"Uncertainty-aware Graph Structure Learning"**.☆14Feb 28, 2025Updated last year
- Code repo for the ICML 2021 paper "Making Paper Reviewing Robust to Bid Manipulation Attacks".☆10Sep 15, 2021Updated 4 years ago
- Package provides java implementation of various clustering algorithms☆11Jun 5, 2017Updated 8 years ago
- Official implementation of paper "Vision Graph Prompting via Semantic Low-Rank Decomposition", ICML 2025☆16Dec 25, 2025Updated 5 months ago
- Reproducible analyses for the NicheCompass manuscript☆14Jul 3, 2025Updated 10 months ago