Newiz430 / Pretext
Resource for "A Survey on Self-Supervised Graph Foundation Models: Knowledge-Based Perspective"
☆24Updated last month
Alternatives and similar repositories for Pretext:
Users that are interested in Pretext are comparing it to the libraries listed below
- NIPS 24: Text-space Graph Foundation Models: Comprehensive Benchmarks and New Insights☆39Updated last month
- The code Implementation of the paper “Universal Prompt Tuning for Graph Neural Networks”.☆20Updated last year
- Papers about Graph Contrastive Learning and Graph Self-supervised Learning on Graphs with Heterophily☆36Updated last year
- The code Implementation of the paper “Universal Prompt Tuning for Graph Neural Networks”.☆25Updated last year
- Awesome Graph Condensation Papers☆33Updated this week
- A collection of papers on Graph Structural Learning (GSL)☆54Updated last year
- The official implement of SIGKDD'24 paper: ZeroG: Investigating Cross-dataset Zero-shot Transferability in Graphs☆24Updated 5 months ago
- Source code for NeurIPS 2022 paper "Uncovering the Structural Fairness in Graph Contrastive Learning"☆29Updated 2 years ago
- Comprehensive Benchmark Dataset for Dynamic Text-Attributed Graphs☆28Updated 2 months ago
- [AAAI'23] Beyond Smoothing: Unsupervised Graph Representation Learning with Edge Heterophily Discriminating☆49Updated 2 years ago
- ☆22Updated 4 months ago
- Official implementation of 'All in One and One for All: A Simple yet Effective Method towards Cross-domain Graph Pretraining' published i…☆32Updated 3 months ago
- ICML 2022, Finding Global Homophily in Graph Neural Networks When Meeting Heterophily☆42Updated 2 years ago
- A curated list of papers on graph transfer learning (GTL).☆16Updated last year
- An atlas of text-attributed graph datasets in the era of large graph and language model.☆42Updated last month
- The official implement of NeurIPS'24 Datasets and Benchmarks Track paper: GLBench: A Comprehensive Benchmark for Graphs with Large Langua…☆53Updated 3 months ago
- The source code of SpCo☆33Updated last year
- Open Source Code for GAugLLM: Improving Graph Contrastive Learning for Text-Attributed Graphs with Large Language Models (KDD'24)☆22Updated 6 months ago
- Pytorch implementation of NeurIPS-23:"Structure-free Graph Condensation (SFGC): From Large-scale Graphs to Condensed Graph-free Data"☆29Updated last year
- [ICLR 2024] VQGraph: Rethinking Graph Representation Space for Bridging GNNs and MLPs☆87Updated 10 months ago
- [Neurips 2024] Disentangled Graph Homophily☆20Updated last week
- A generative one-for-all model for joint graph language modeling☆23Updated 2 months ago
- The official implementation of the paper "Ordered GNN: Ordering Message Passing to Deal with Heterophily and Over-smoothing" (ICLR 2023).☆40Updated 10 months ago
- [NeurIPS'24] The source code for "Beyond Redundancy: Information-aware Unsupervised Multiplex Graph Structure Learning".☆17Updated last week
- Label-free Node Classification on Graphs with Large Language Models (LLMS)☆69Updated last year
- GraphACL: Simple and Asymmetric Graph Contrastive Learning (NeurIPS 2023)☆28Updated 7 months 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
- Awesome literature on imbalanced learning on graphs☆74Updated 4 months ago
- ☆19Updated last year
- Official Code: TheWebConf 2022 Compact Graph Structure Learning via Mutual Information Compression☆24Updated 10 months ago