yf-he / UniGraphLinks
Early release of the official implementation for "UniGraph: Learning a Unified Cross-Domain Foundation Model for Text-Attributed Graphs"
☆12Updated 9 months ago
Alternatives and similar repositories for UniGraph
Users that are interested in UniGraph are comparing it to the libraries listed below
Sorting:
- Official implementation of MARIO: Model Agnostic Recipe for Improving OOD Generalization of Graph Contrastive Learning☆17Updated last year
- A generative one-for-all model for joint graph language modeling☆36Updated 2 weeks ago
- ☆28Updated 9 months ago
- Official Repo of SimTeG☆42Updated last year
- Official implementation of GraphCLIP: Enhancing Transferability in Graph Foundation Models for Text-Attributed Graphs☆46Updated 3 months ago
- Official implementation of paper "Efficient Tuning and Inference for Large Language Models on Textual Graphs"☆32Updated 11 months ago
- NIPS 24: Text-space Graph Foundation Models: Comprehensive Benchmarks and New Insights☆44Updated 5 months ago
- ☆20Updated last year
- GRENADE: Graph-Centric Language Model for Self-Supervised Representation Learning on Text-Attributed Graphs☆14Updated 4 months ago
- [NeurIPS'24] ARC: A Generalist Graph Anomaly Detector with In-Context Learning☆23Updated 6 months ago
- Official repository for NeurIPS'23 paper: GraphPatcher: Mitigating Degree Bias for Graph Neural Networks via Test-time Augmentation☆16Updated last year
- Code for the paper "Spectrum Guided Topology Augmentation for Graph Contrastive Learning"☆11Updated last year
- GFT: Graph Foundation Model with Transferable Tree Vocabulary, NeurIPS 2024.☆45Updated 2 weeks ago
- Official Code: TheWebConf 2022 Compact Graph Structure Learning via Mutual Information Compression☆24Updated last year
- Pytorch implementation for NeurIPS-23:"GNNEvaluator: Evaluating GNN Performance On Unseen Graphs Without Labels"☆19Updated last year
- The official implement of SIGKDD'24 paper: ZeroG: Investigating Cross-dataset Zero-shot Transferability in Graphs☆29Updated 9 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
- Open Source Code for GAugLLM: Improving Graph Contrastive Learning for Text-Attributed Graphs with Large Language Models (KDD'24)☆26Updated 11 months ago
- Resource for "A Survey on Self-Supervised Graph Foundation Models: Knowledge-Based Perspective"☆32Updated 3 weeks ago
- Pytorch implementation of NeurIPS-23:"Structure-free Graph Condensation (SFGC): From Large-scale Graphs to Condensed Graph-free Data"☆32Updated last year
- code for kdd feasibiiity☆11Updated 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 7 months ago
- A collection of papers and resources about Data Centric Graph Machine Learning (DC-GML)☆35Updated last year
- The code Implementation of the paper “Universal Prompt Tuning for Graph Neural Networks”.☆30Updated last year
- The code Implementation of the paper “Universal Prompt Tuning for Graph Neural Networks”.☆23Updated last year
- ☆26Updated last year
- An atlas of text-attributed graph datasets in the era of large graph and language model.☆55Updated 5 months ago
- Official implementation of paper "GraphControl: Adding Conditional Control to Universal Graph Pre-trained Models for Graph Domain Transfe…☆18Updated last year
- [WSDM'23] GOOD-D: On Unsupervised Graph Out-Of-Distribution Detection☆41Updated 2 years ago
- GraphACL: Simple and Asymmetric Graph Contrastive Learning (NeurIPS 2023)☆31Updated 11 months ago