ZhuYun97 / ENGINE
Official implementation of paper "Efficient Tuning and Inference for Large Language Models on Textual Graphs"
☆30Updated 7 months ago
Alternatives and similar repositories for ENGINE:
Users that are interested in ENGINE are comparing it to the libraries listed below
- The official implement of NeurIPS'24 Datasets and Benchmarks Track paper: GLBench: A Comprehensive Benchmark for Graphs with Large Langua…☆54Updated 3 months ago
- Official implementation of 'All in One and One for All: A Simple yet Effective Method towards Cross-domain Graph Pretraining' published i…☆32Updated 3 months ago
- Official implementation of GraphCLIP: Enhancing Transferability in Graph Foundation Models for Text-Attributed Graphs☆34Updated last month
- Official implementation of MARIO: Model Agnostic Recipe for Improving OOD Generalization of Graph Contrastive Learning☆16Updated last year
- The code Implementation of the paper “Universal Prompt Tuning for Graph Neural Networks”.☆21Updated last year
- The official implement of SIGKDD'24 paper: ZeroG: Investigating Cross-dataset Zero-shot Transferability in Graphs☆25Updated 6 months ago
- ☆23Updated 5 months ago
- A generative one-for-all model for joint graph language modeling☆23Updated 3 months ago
- Label-free Node Classification on Graphs with Large Language Models (LLMS)☆70Updated last year
- Official Repo of SimTeG☆39Updated 10 months ago
- An atlas of text-attributed graph datasets in the era of large graph and language model.☆43Updated last month
- Open Source Code for GAugLLM: Improving Graph Contrastive Learning for Text-Attributed Graphs with Large Language Models (KDD'24)☆23Updated 7 months ago
- The code Implementation of the paper “Universal Prompt Tuning for Graph Neural Networks”.☆27Updated last year
- NIPS 24: Text-space Graph Foundation Models: Comprehensive Benchmarks and New Insights☆39Updated 2 months ago
- GraphACL: Simple and Asymmetric Graph Contrastive Learning (NeurIPS 2023)☆29Updated 8 months ago
- GRENADE: Graph-Centric Language Model for Self-Supervised Representation Learning on Text-Attributed Graphs☆14Updated last month
- [ICLR 2024] VQGraph: Rethinking Graph Representation Space for Bridging GNNs and MLPs☆89Updated 11 months ago
- Implementation of GraphPrompter (The Web Conference 2024 Short Paper)☆25Updated 10 months ago
- Pytorch implementation of NeurIPS-23:"Structure-free Graph Condensation (SFGC): From Large-scale Graphs to Condensed Graph-free Data"☆29Updated last year
- Resource for "A Survey on Self-Supervised Graph Foundation Models: Knowledge-Based Perspective"☆26Updated this week
- [ICML2024] "LLaGA: Large Language and Graph Assistant", Runjin Chen, Tong Zhao, Ajay Jaiswal, Neil Shah, Zhangyang Wang☆93Updated 5 months ago
- ☆19Updated last year
- [NeurIPS 2024 🔥] TEG-DB: A Comprehensive Dataset and Benchmark of Textual-Edge Graphs☆32Updated last month
- A collection of papers and resources about Data-centric Graph Machine Learning (DC-GML).☆46Updated last year
- ☆21Updated 11 months ago
- ☆24Updated last year
- Benchmark☆89Updated 10 months ago
- [SIGKDD 2024] Rethinking Fair Graph Neural Networks from Re-balancing☆10Updated 7 months ago
- Comprehensive Benchmark Dataset for Dynamic Text-Attributed Graphs☆28Updated 3 months ago
- Augmenting Low-Resource Text Classification with Graph-Grounded Pre-training and Prompting. SIGIR-2023☆32Updated last month