Newiz430 / PretextLinks
Resource for "A Survey on Self-Supervised Graph Foundation Models: Knowledge-Based Perspective"
☆34Updated last month
Alternatives and similar repositories for Pretext
Users that are interested in Pretext are comparing it to the libraries listed below
Sorting:
- A collection of papers on Graph Structural Learning (GSL)☆54Updated last year
- NIPS 24: Text-space Graph Foundation Models: Comprehensive Benchmarks and New Insights☆44Updated 6 months ago
- Open Source Code for GAugLLM: Improving Graph Contrastive Learning for Text-Attributed Graphs with Large Language Models (KDD'24)☆26Updated 11 months ago
- The code Implementation of the paper “Universal Prompt Tuning for Graph Neural Networks”.☆31Updated last year
- Papers about Graph Contrastive Learning and Graph Self-supervised Learning on Graphs with Heterophily☆37Updated last year
- Official implementation of 'All in One and One for All: A Simple yet Effective Method towards Cross-domain Graph Pretraining' published i…☆39Updated 8 months ago
- The code Implementation of the paper “Universal Prompt Tuning for Graph Neural Networks”.☆23Updated last year
- The official implement of SIGKDD'24 paper: ZeroG: Investigating Cross-dataset Zero-shot Transferability in Graphs☆31Updated 10 months ago
- GraphACL: Simple and Asymmetric Graph Contrastive Learning (NeurIPS 2023)☆31Updated last year
- Pytorch implementation of NeurIPS-23:"Structure-free Graph Condensation (SFGC): From Large-scale Graphs to Condensed Graph-free Data"☆36Updated last year
- Awesome Graph Condensation Papers, TKDE'25 paper: Graph Condensation: A Survey.☆43Updated last month
- ☆27Updated 10 months ago
- ☆14Updated last year
- A curated list of awesome graph structure learning approaches☆38Updated 7 months ago
- The official implement of NeurIPS'24 Datasets and Benchmarks Track paper: GLBench: A Comprehensive Benchmark for Graphs with Large Langua…☆59Updated 7 months ago
- Official Code: TheWebConf 2022 Compact Graph Structure Learning via Mutual Information Compression☆24Updated last year
- ☆25Updated last year
- ICML 2022, Finding Global Homophily in Graph Neural Networks When Meeting Heterophily☆43Updated 2 years ago
- The official implementation of the paper "Ordered GNN: Ordering Message Passing to Deal with Heterophily and Over-smoothing" (ICLR 2023).☆45Updated last year
- ☆22Updated 9 months ago
- n awesome&curated list of the advanced graph data-centric (i.e., graph sparsification, graph denoise, graph condensation) learning papers☆16Updated 2 weeks ago
- A Comprehensive Benchmark of Imbalanced Graph Learning (Accepted by ICLR 2025 Spotlight)☆9Updated 2 months ago
- ☆30Updated 7 months ago
- Data Augmentation for Supervised Graph Outlier Detection with Latent Diffusion Models☆10Updated last year
- ☆17Updated last year
- Source code for NeurIPS 2022 paper "Uncovering the Structural Fairness in Graph Contrastive Learning"☆29Updated 2 years ago
- [Neurips 2024] Disentangled Graph Homophily☆25Updated 5 months ago
- ☆60Updated 2 years ago
- ☆33Updated 2 years ago
- The source code of SpCo☆34Updated 2 years ago