tengxiao1 / Awesome-Graph-Contrastive-Learning-with-HeterophilyLinks
Papers about Graph Contrastive Learning and Graph Self-supervised Learning on Graphs with Heterophily
☆37Updated last year
Alternatives and similar repositories for Awesome-Graph-Contrastive-Learning-with-Heterophily
Users that are interested in Awesome-Graph-Contrastive-Learning-with-Heterophily are comparing it to the libraries listed below
Sorting:
- NIPS 24: Text-space Graph Foundation Models: Comprehensive Benchmarks and New Insights☆45Updated 8 months ago
- The official implement of SIGKDD'24 paper: ZeroG: Investigating Cross-dataset Zero-shot Transferability in Graphs☆33Updated last year
- Benchmark☆104Updated last year
- 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
- Comprehensive Benchmark Dataset for Dynamic Text-Attributed Graphs☆37Updated 10 months ago
- ☆183Updated last year
- Resource for "A Survey on Self-Supervised Graph Foundation Models: Knowledge-Based Perspective"☆35Updated 4 months ago
- Official Implementation of ICLR 2024 paper "Harnessing Explanations: LLM-to-LM Interpreter for Enhanced Text-Attributed Graph Representat…☆243Updated 5 months ago
- Awesome Graph Condensation Papers, TKDE'25 paper: Graph Condensation: A Survey.☆46Updated 2 months ago
- ☆24Updated 11 months ago
- The official implement of NeurIPS'24 Datasets and Benchmarks Track paper: GLBench: A Comprehensive Benchmark for Graphs with Large Langua…☆64Updated 10 months ago
- The code Implementation of the paper “Universal Prompt Tuning for Graph Neural Networks”.☆33Updated last year
- The code Implementation of the paper “Universal Prompt Tuning for Graph Neural Networks”.☆24Updated last year
- The source code of SpCo☆35Updated 2 years ago
- A collection of papers on Graph Structural Learning (GSL)☆56Updated last year
- ☆19Updated last year
- PyTorch implementation of "Spectral Heterogeneous Graph Convolutions via Positive Noncommutative Polynomials."☆19Updated 8 months ago
- ☆26Updated 3 years ago
- Papers about out-of-distribution generalization on graphs.☆167Updated 2 years ago
- Label-free Node Classification on Graphs with Large Language Models (LLMS)☆84Updated last year
- [NeurIPS 2023] "Unleashing the Power of Graph Data Augmentation on Covariate Distribution Shift" by Yongduo Sui, Qitian Wu, Jiancan Wu, Q…☆17Updated last year
- GraphACL: Simple and Asymmetric Graph Contrastive Learning (NeurIPS 2023)☆31Updated last year
- [ICML 2025] Official implementation for paper "A Comprehensive Analysis on LLM-based Node Classification Algorithms"☆62Updated 2 months ago
- A fundational graph learning framework that solves cross-domain/cross-task classification problems using one model.☆228Updated last year
- [AAAI'23] Beyond Smoothing: Unsupervised Graph Representation Learning with Edge Heterophily Discriminating☆52Updated 2 years ago
- GRENADE: Graph-Centric Language Model for Self-Supervised Representation Learning on Text-Attributed Graphs☆14Updated 8 months ago
- ☆25Updated last year
- ☆57Updated 11 months ago
- Open-source Library PyGDebias: Graph Datasets and Fairness-Aware Graph Mining Algorithms☆63Updated last year
- ☆60Updated 2 years ago