yf-he / UniGraphLinks
UniGraph: Learning a Unified Cross-Domain Foundation Model for Text-Attributed Graphs (KDD'25)
☆18Updated 4 months ago
Alternatives and similar repositories for UniGraph
Users that are interested in UniGraph are comparing it to the libraries listed below
Sorting:
- Official repository for NeurIPS'23 paper: GraphPatcher: Mitigating Degree Bias for Graph Neural Networks via Test-time Augmentation☆17Updated 2 years ago
- Official Repo of SimTeG☆42Updated last year
- NIPS 24: Text-space Graph Foundation Models: Comprehensive Benchmarks and New Insights☆45Updated 9 months ago
- Official Code: TheWebConf 2022 Compact Graph Structure Learning via Mutual Information Compression☆24Updated last year
- ☆27Updated 2 years ago
- A generative one-for-all model for joint graph language modeling☆43Updated 3 months ago
- [NeurIPS'24] ARC: A Generalist Graph Anomaly Detector with In-Context Learning☆25Updated 10 months ago
- [ICLR'23] Implementation of "Empowering Graph Representation Learning with Test-Time Graph Transformation"☆61Updated 2 years ago
- ICML 2022, Finding Global Homophily in Graph Neural Networks When Meeting Heterophily☆44Updated 3 years ago
- ☆129Updated 6 months ago
- GFT: Graph Foundation Model with Transferable Tree Vocabulary, NeurIPS 2024.☆51Updated 4 months ago
- Code for the paper "Spectrum Guided Topology Augmentation for Graph Contrastive Learning"☆11Updated 2 years ago
- GRENADE: Graph-Centric Language Model for Self-Supervised Representation Learning on Text-Attributed Graphs☆14Updated 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…☆42Updated 11 months ago
- Pytorch implementation of NeurIPS-23:"Structure-free Graph Condensation (SFGC): From Large-scale Graphs to Condensed Graph-free Data"☆37Updated 2 years ago
- ☆18Updated 2 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
- A curated list of resources for graph prompting methods☆29Updated last year
- The code Implementation of the paper “Universal Prompt Tuning for Graph Neural Networks”.☆24Updated last year
- The code Implementation of the paper “Universal Prompt Tuning for Graph Neural Networks”.☆35Updated last year
- Ratioanle-aware Graph Contrastive Learning codebase☆43Updated 2 years ago
- Official implementation of paper "Efficient Tuning and Inference for Large Language Models on Textual Graphs"☆34Updated last year
- Comprehensive Benchmark Dataset for Dynamic Text-Attributed Graphs☆39Updated 11 months ago
- Label-free Node Classification on Graphs with Large Language Models (LLMS)☆85Updated last year
- ☆98Updated 2 years ago
- Patton: Language Model Pretraining on Text-rich Networks (ACL 2023 main oral)☆31Updated 7 months ago
- An atlas of text-attributed graph datasets in the era of large graph and language model.☆59Updated 9 months ago
- "Shift-Robust GNNs: Overcoming the Limitations of Localized Graph Training Data" (NeurIPS 21')☆48Updated 3 years ago
- Ongoing project: a library for graph foundation model☆13Updated 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