MingChen-Sun / GPPTLinks
☆63Updated 3 years ago
Alternatives and similar repositories for GPPT
Users that are interested in GPPT are comparing it to the libraries listed below
Sorting:
- The code Implementation of the paper “Universal Prompt Tuning for Graph Neural Networks”.☆37Updated 2 years ago
- [WWW'22] Towards Unsupervised Deep Graph Structure Learning☆145Updated 3 years ago
- A fundational graph learning framework that solves cross-domain/cross-task classification problems using one model.☆243Updated last year
- Benchmark☆113Updated last year
- GraphPrompt: Unifying Pre-Training and Downstream Tasks for Graph Neural Networks☆163Updated last year
- ☆33Updated 2 years ago
- The source code of HeCo☆171Updated 3 years ago
- Official implementation of 'All in One and One for All: A Simple yet Effective Method towards Cross-domain Graph Pretraining' published i…☆46Updated last year
- ☆133Updated 10 months ago
- [ICML2022] G-Mixup: Graph Data Augmentation for Graph Classification☆104Updated last year
- Code for NeurIPS 2022 paper "Rethinking and Scaling Up Graph Contrastive Learning: An Extremely Efficient Approach with Group Discriminat…☆56Updated 2 years ago
- NAGphormer: A Tokenized Graph Transformer for Node Classification in Large Graphs☆135Updated last year
- Label-free Node Classification on Graphs with Large Language Models (LLMS)☆92Updated 2 years ago
- Papers about out-of-distribution generalization on graphs.☆168Updated 2 years ago
- ☆187Updated last year
- Official Implementation of ICLR 2024 paper "Harnessing Explanations: LLM-to-LM Interpreter for Enhanced Text-Attributed Graph Representat…☆258Updated 9 months ago
- A collection of papers on Graph Structural Learning (GSL)☆58Updated 2 years ago
- ☆125Updated 2 years ago
- ICML 2022, Finding Global Homophily in Graph Neural Networks When Meeting Heterophily☆46Updated 3 years ago
- PyTorch Implementation for "Eliciting Structural and Semantic Global Knowledge in Unsupervised Graph Contrastive Learning" (AAAI2023)☆25Updated last year
- [WWW 2022] "SimGRACE: A Simple Framework for Graph Contrastive Learning without Data Augmentation"☆81Updated 3 years ago
- ☆60Updated last year
- Augmenting Low-Resource Text Classification with Graph-Grounded Pre-training and Prompting. SIGIR-2023☆36Updated last year
- PyTorch implementation of "Spectral Heterogeneous Graph Convolutions via Positive Noncommutative Polynomials."☆19Updated last year
- ☆19Updated 2 years ago
- ☆46Updated 3 years ago
- NeurIPS 2022, Revisiting Heterophily For Graph Neural Networks, official PyTorch implementation for Adaptive Channel Mixing (ACM) GNN fra…☆88Updated last year
- GRENADE: Graph-Centric Language Model for Self-Supervised Representation Learning on Text-Attributed Graphs☆16Updated last year
- ☆24Updated last year
- Adversarial Graph Augmentation to Improve Graph Contrastive Learning☆92Updated 4 years ago