liun-online / CoGSLLinks
Official Code: TheWebConf 2022 Compact Graph Structure Learning via Mutual Information Compression
☆24Updated last year
Alternatives and similar repositories for CoGSL
Users that are interested in CoGSL are comparing it to the libraries listed below
Sorting:
- ICML 2022, Finding Global Homophily in Graph Neural Networks When Meeting Heterophily☆44Updated 3 years ago
- Ratioanle-aware Graph Contrastive Learning codebase☆44Updated 2 years ago
- [AAAI'23] Beyond Smoothing: Unsupervised Graph Representation Learning with Edge Heterophily Discriminating☆52Updated 2 years ago
- The code Implementation of the paper “Universal Prompt Tuning for Graph Neural Networks”.☆24Updated last year
- GraphACL: Simple and Asymmetric Graph Contrastive Learning (NeurIPS 2023)☆31Updated last year
- [ICLR'23] Implementation of "Empowering Graph Representation Learning with Test-Time Graph Transformation"☆61Updated 2 years ago
- The code Implementation of the paper “Universal Prompt Tuning for Graph Neural Networks”.☆33Updated last year
- Source code for WWW 2021 paper "Graph Structure Estimation Neural Networks"☆58Updated 4 years ago
- Comprehensive Benchmark Dataset for Dynamic Text-Attributed Graphs☆37Updated 10 months ago
- [KDD 2022] Implementation of "Feature Overcorrelation in Deep Graph Neural Networks: A New Perspective"☆45Updated last year
- Pytorch implementation of NeurIPS-23:"Structure-free Graph Condensation (SFGC): From Large-scale Graphs to Condensed Graph-free Data"☆37Updated last year
- I'm Me, We're Us, and I'm Us: Tri-directional Contrastive Learning on Hypergraphs (AAAI'23)☆37Updated last year
- A collection of papers and resources about Data Centric Graph Machine Learning (DC-GML)☆40Updated last year
- NIPS 24: Text-space Graph Foundation Models: Comprehensive Benchmarks and New Insights☆45Updated 8 months ago
- [ICML 2023] Structural Re-weighting Improves Graph Domain Adaptation (StruRW)☆21Updated 2 years ago
- Official implementation of 'All in One and One for All: A Simple yet Effective Method towards Cross-domain Graph Pretraining' published i…☆41Updated 10 months ago
- Official repository for NeurIPS'23 paper: GraphPatcher: Mitigating Degree Bias for Graph Neural Networks via Test-time Augmentation☆17Updated last year
- [WSDM'23] GOOD-D: On Unsupervised Graph Out-Of-Distribution Detection☆43Updated 2 years ago
- source code of KDD 2022 paper "Reliable Representations Make A Stronger Defender: Unsupervised Structure Refinement for Robust GNN".☆28Updated last year
- [WWW 2022] "SimGRACE: A Simple Framework for Graph Contrastive Learning without Data Augmentation"☆81Updated 3 years ago
- Official implementation of GraphCLIP: Enhancing Transferability in Graph Foundation Models for Text-Attributed Graphs☆53Updated 6 months ago
- The official source code for Self-Guided Robust Graph Structure Refinement (SG-GSR) at WWW 2024 Research Track.☆17Updated last year
- Pytorch implementation of EvenNet.☆20Updated 2 years ago
- This is the official repository for NeurIPS 2023 paper "Curriculum Learning for Graph Neural Networks: Which Edges Should We Learn First"☆15Updated last year
- ☆30Updated last year
- KDD23 - Classification of Edge-Dependent Labels of Nodes in Hypergraphs☆18Updated last year
- Code for GBK-GNN (paper accepted by WWW2022)☆16Updated 3 years ago
- A collection of papers on Graph Structural Learning (GSL)☆56Updated last year
- This repo contains a reference implementation for the paper "Breaking the Limit of Graph Neural Networks by Improving the Assortativity o…☆32Updated 3 years ago
- Code for SGDD☆25Updated last year