hxttkl / GraphAdapterLinks
Code of GraphAdapter
☆16Updated last year
Alternatives and similar repositories for GraphAdapter
Users that are interested in GraphAdapter are comparing it to the libraries listed below
Sorting:
- ☆25Updated last year
- Implementation of GraphPrompter (The Web Conference 2024 Short Paper)☆35Updated last year
- Label-free Node Classification on Graphs with Large Language Models (LLMS)☆84Updated last year
- [ICML2024] "LLaGA: Large Language and Graph Assistant", Runjin Chen, Tong Zhao, Ajay Jaiswal, Neil Shah, Zhangyang Wang☆131Updated last year
- The official implement of NeurIPS'24 Datasets and Benchmarks Track paper: GLBench: A Comprehensive Benchmark for Graphs with Large Langua…☆65Updated 11 months ago
- ☆44Updated 10 months ago
- Official implementation of 'All in One and One for All: A Simple yet Effective Method towards Cross-domain Graph Pretraining' published i…☆41Updated 11 months ago
- The official implement of SIGKDD'24 paper: ZeroG: Investigating Cross-dataset Zero-shot Transferability in Graphs☆33Updated last year
- Open Source Code for GAugLLM: Improving Graph Contrastive Learning for Text-Attributed Graphs with Large Language Models (KDD'24)☆26Updated last year
- [NeurIPS'24] ARC: A Generalist Graph Anomaly Detector with In-Context Learning☆25Updated 10 months ago
- Official implementation of GraphCLIP: Enhancing Transferability in Graph Foundation Models for Text-Attributed Graphs☆53Updated 7 months ago
- Official implementation of paper "Efficient Tuning and Inference for Large Language Models on Textual Graphs"☆34Updated last year
- Official Implementation of ICLR 2024 paper "Harnessing Explanations: LLM-to-LM Interpreter for Enhanced Text-Attributed Graph Representat…☆244Updated 5 months ago
- ☆24Updated last year
- A fundational graph learning framework that solves cross-domain/cross-task classification problems using one model.☆230Updated last year
- ☆183Updated last year
- Benchmark☆104Updated last year
- Exploring the Potential of Large Language Models (LLMs) in Learning on Graphs☆304Updated 6 months ago
- Awesome Graph Condensation Papers, TKDE'25 paper: Graph Condensation: A Survey.☆46Updated 2 months ago
- [ICML 2025] Official implementation for paper "A Comprehensive Analysis on LLM-based Node Classification Algorithms"☆62Updated 2 months ago
- The code Implementation of the paper “Universal Prompt Tuning for Graph Neural Networks”.☆35Updated last year
- Code for "Environment-Aware Dynamic Graph Learning for Out-of-Distribution Generalization (EAGLE)"☆23Updated last year
- Comprehensive Benchmark Dataset for Dynamic Text-Attributed Graphs☆37Updated 10 months ago
- NIPS 24: Text-space Graph Foundation Models: Comprehensive Benchmarks and New Insights☆45Updated 9 months ago
- [KDD'23] Learning Strong Graph Neural Networks with Weak Information☆42Updated 2 years ago
- A generative one-for-all model for joint graph language modeling☆42Updated 3 months ago
- Graph Few-Shot Class-Incremental Learning via Prototype Representation☆21Updated 3 years ago
- Papers about Graph Contrastive Learning and Graph Self-supervised Learning on Graphs with Heterophily☆37Updated last year
- The implementation for DropMessage.☆37Updated 2 years ago
- ICLR25_Unifying Unsupervised Graph-Level Out-of-Distribution Detection and Anomaly Detection: A Benchmark☆60Updated last month