PyTorch code of "SLAPS: Self-Supervision Improves Structure Learning for Graph Neural Networks"
☆90Oct 25, 2021Updated 5 years ago
Alternatives and similar repositories for SLAPS-GNN
Users that are interested in SLAPS-GNN are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- [WWW'22] Towards Unsupervised Deep Graph Structure Learning☆147Nov 30, 2022Updated 3 years ago
- Graph revised convolutional network (ECML-PKDD 2020)☆17Oct 14, 2020Updated 6 years ago
- Code & data accompanying the NeurIPS 2020 paper "Iterative Deep Graph Learning for Graph Neural Networks: Better and Robust Node Embeddin…☆240Jul 23, 2023Updated 3 years ago
- ICML 2022, Finding Global Homophily in Graph Neural Networks When Meeting Heterophily☆45Jul 25, 2022Updated 4 years ago
- [ICML 2022] "ProGCL: Rethinking Hard Negative Mining in Graph Contrastive Learning"☆46Jun 13, 2022Updated 4 years ago
- 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.
- CIKM 23 Oral - HoLe: Homophily-enhanced Structure Learning for Graph Clustering☆11Feb 29, 2024Updated 2 years ago
- ☆15Nov 3, 2022Updated 3 years ago
- Official Code: TheWebConf 2022 Compact Graph Structure Learning via Mutual Information Compression☆25Mar 17, 2024Updated 2 years ago
- [KDD 2022] Implementation of "Feature Overcorrelation in Deep Graph Neural Networks: A New Perspective"☆45Jan 6, 2024Updated 2 years ago
- Graph Debiased Contrastive Learning with Joint Representation Clustering☆26May 10, 2023Updated 3 years ago
- Learning Discrete Structures for Graph Neural Networks (TensorFlow implementation)☆201Mar 6, 2024Updated 2 years ago
- Implementation of the KDD 2020 paper "Graph Structure Learning for Robust Graph Neural Networks"☆309May 12, 2023Updated 3 years ago
- "HomoGCL: Rethinking Homophily in Graph Contrastive Learning" in KDD'23☆14Jul 6, 2023Updated 3 years ago
- The code of paper "Block Modeling-Guided Graph Convolutional Neural Networks".☆34Dec 21, 2021Updated 4 years 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.
- DGL Implementation of ICML 2020 Paper 'Contrastive Multi-View Representation Learning on Graphs'☆67Dec 18, 2023Updated 2 years ago
- The Open Source Code For ICML 2023 Paper "Finding the Missing-half: Graph Complementary Learning for Homophily-prone and Heterophily-pron…☆15Jun 15, 2023Updated 3 years ago
- ☆21Dec 6, 2021Updated 4 years ago
- code for progressive gsl☆12Jan 15, 2026Updated 9 months ago
- A collection of papers and resources about Data-centric Graph Machine Learning (DC-GML).☆46Nov 1, 2023Updated 3 years ago
- The code for the ICML 2021 paper "Graph Neural Networks Inspired by Classical Iterative Algorithms".☆43Jun 9, 2021Updated 5 years ago
- Codes for 'From Canonical Correlation Analysis to Self-supervised Graph Neural Networks'. https://arxiv.org/abs/2106.12484☆70Nov 29, 2023Updated 2 years ago
- Learning to Drop: Robust Graph Neural Network via Topological Denoising & Robust Graph Representation Learning via Neural Sparsification☆82Apr 29, 2021Updated 5 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☆29Nov 27, 2024Updated last year
- Deploy open-source AI quickly and easily - Special Bonus Offer • AdRunpod Hub is built for open source. One-click deployment and autoscaling endpoints without provisioning your own infrastructure.
- Adversarial Graph Augmentation to Improve Graph Contrastive Learning☆93Dec 2, 2021Updated 4 years ago
- Codes for "Two Sides of the Same Coin: Heterophily and Oversmoothing in Graph Convolutional Neural Networks"☆43Mar 18, 2023Updated 3 years ago
- ☆38Dec 1, 2021Updated 4 years ago
- ☆55Oct 22, 2022Updated 4 years ago
- Source code of AAAI21-Heterogeneous Graph Structure Learning for Graph Neural Networks☆120Aug 3, 2022Updated 4 years ago
- Source code for WWW 2021 paper "Graph Structure Estimation Neural Networks"☆60Jul 15, 2021Updated 5 years ago
- [GRL+ @ ICML 2020] PyTorch implementation for "Deep Graph Contrastive Representation Learning" (https://arxiv.org/abs/2006.04131v2)☆357Apr 25, 2024Updated 2 years ago
- ☆19Feb 28, 2023Updated 3 years ago
- [TMLR] Unsupervised Network Embedding Beyond Homophily (https://arxiv.org/abs/2203.10866) Resources☆11Mar 21, 2023Updated 3 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.
- PyTorch implementation of BGRL (https://arxiv.org/abs/2102.06514)☆90Aug 27, 2023Updated 3 years ago
- Source Code for ICML 2022 paper "Boosting Graph Structure Learning with Dummy Nodes"☆19Apr 24, 2023Updated 3 years ago
- Code for IJCAI'24 paper: Gradformer: Graph Transformer with Exponential Decay☆55Dec 10, 2024Updated last year
- [NeurIPS 2021] Large Scale Learning on Non-Homophilous Graphs: New Benchmarks and Strong Simple Methods☆129Jul 22, 2022Updated 4 years ago
- [WWW 2022] "SimGRACE: A Simple Framework for Graph Contrastive Learning without Data Augmentation"☆83Jun 13, 2022Updated 4 years ago
- ☆14Jan 6, 2020Updated 6 years ago
- Graph Learning Convolution Network☆41Mar 24, 2023Updated 3 years ago