Newiz430 / Pretext
Resource for "A Survey on Self-Supervised Graph Foundation Models: Knowledge-Based Perspective"
☆28Updated last week
Alternatives and similar repositories for Pretext:
Users that are interested in Pretext are comparing it to the libraries listed below
- Papers about Graph Contrastive Learning and Graph Self-supervised Learning on Graphs with Heterophily☆37Updated last year
- The code Implementation of the paper “Universal Prompt Tuning for Graph Neural Networks”.☆22Updated last year
- Open Source Code for GAugLLM: Improving Graph Contrastive Learning for Text-Attributed Graphs with Large Language Models (KDD'24)☆25Updated 10 months ago
- NIPS 24: Text-space Graph Foundation Models: Comprehensive Benchmarks and New Insights☆43Updated 4 months ago
- A collection of papers on Graph Structural Learning (GSL)☆54Updated last year
- GraphACL: Simple and Asymmetric Graph Contrastive Learning (NeurIPS 2023)☆31Updated 10 months ago
- The code Implementation of the paper “Universal Prompt Tuning for Graph Neural Networks”.☆30Updated last year
- ☆15Updated last year
- The official implement of SIGKDD'24 paper: ZeroG: Investigating Cross-dataset Zero-shot Transferability in Graphs☆28Updated 9 months ago
- Official implementation of 'All in One and One for All: A Simple yet Effective Method towards Cross-domain Graph Pretraining' published i…☆35Updated 6 months ago
- ICML 2022, Finding Global Homophily in Graph Neural Networks When Meeting Heterophily☆43Updated 2 years ago
- ☆22Updated 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
- Comprehensive Benchmark Dataset for Dynamic Text-Attributed Graphs☆32Updated 6 months ago
- ☆20Updated last year
- Source code for NeurIPS 2022 paper "Uncovering the Structural Fairness in Graph Contrastive Learning"☆29Updated 2 years ago
- ☆18Updated 3 months ago
- Awesome Graph Condensation Papers☆37Updated last month
- Pytorch implementation of NeurIPS-23:"Structure-free Graph Condensation (SFGC): From Large-scale Graphs to Condensed Graph-free Data"☆30Updated last year
- Official Code: TheWebConf 2022 Compact Graph Structure Learning via Mutual Information Compression☆24Updated last year
- The official implementation of the paper "Ordered GNN: Ordering Message Passing to Deal with Heterophily and Over-smoothing" (ICLR 2023).☆44Updated last year
- The source code of SpCo☆35Updated last year
- [AAAI'23] Beyond Smoothing: Unsupervised Graph Representation Learning with Edge Heterophily Discriminating☆52Updated 2 years ago
- Benchmark☆97Updated last year
- An atlas of text-attributed graph datasets in the era of large graph and language model.☆53Updated 4 months ago
- A curated list of papers on graph transfer learning (GTL).☆17Updated last year
- GRENADE: Graph-Centric Language Model for Self-Supervised Representation Learning on Text-Attributed Graphs☆14Updated 4 months ago
- Awesome literature on imbalanced learning on graphs☆76Updated 7 months ago
- Awesome Few-Shot Learning on Graphs☆15Updated last week
- A curated list of Heterophilous Graph Self-Supervised Learning papers.☆15Updated 2 years ago