Barristen / Prog_plus
☆10Updated this week
Related projects: ⓘ
- Benchmark☆70Updated 5 months ago
- GRENADE: Graph-Centric Language Model for Self-Supervised Representation Learning on Text-Attributed Graphs☆10Updated 5 months ago
- Augmenting Low-Resource Text Classification with Graph-Grounded Pre-training and Prompting. SIGIR-2023☆21Updated 2 months ago
- Papers about Graph Contrastive Learning and Graph Self-supervised Learning on Graphs with Heterophily☆29Updated 10 months ago
- GLBench: A Comprehensive Benchmark for Graphs with Large Language Models☆27Updated last week
- ☆14Updated 7 months ago
- Official implementation of 'All in One and One for All: A Simple yet Effective Method towards Cross-domain Graph Pretraining' published i…☆21Updated 3 weeks ago
- ☆53Updated last year
- ☆110Updated last year
- Official Implementation of ICLR 2024 paper "Harnessing Explanations: LLM-to-LM Interpreter for Enhanced Text-Attributed Graph Representat…☆167Updated 3 months ago
- The code Implementation of the paper “Universal Prompt Tuning for Graph Neural Networks”.☆24Updated 11 months ago
- ☆13Updated 9 months ago
- The official implement of SIGKDD'24 paper: ZeroG: Investigating Cross-dataset Zero-shot Transferability in Graphs☆17Updated last month
- ☆144Updated 5 months ago
- Label-free Node Classification on Graphs with Large Language Models (LLMS)☆57Updated 9 months ago
- Comprehensive Benchmark Dataset for Dynamic Text-Attributed Graphs☆11Updated last month
- A collection of papers on Graph Structural Learning (GSL)☆44Updated 8 months ago
- [NeurIPS'24 Submitted] Unifying Unsupervised Graph-Level Out-of-Distribution Detection and Anomaly Detection: A Benchmark☆37Updated last month
- Official repository of "Can Language Models Solve Graph Problems in Natural Language?". NeurIPS 2023 (Spotlight)☆101Updated 3 weeks ago
- ☆12Updated last year
- PyTorch Implementation for "Eliciting Structural and Semantic Global Knowledge in Unsupervised Graph Contrastive Learning" (AAAI2023)☆21Updated last year
- ☆75Updated last year
- ☆11Updated 9 months ago
- A fundational graph learning framework that solves cross-domain/cross-task classification problems using one model.☆163Updated 4 months ago
- The code Implementation of the paper “Universal Prompt Tuning for Graph Neural Networks”.☆17Updated 11 months ago
- ☆13Updated 3 weeks ago
- GraphPrompt: Unifying Pre-Training and Downstream Tasks for Graph Neural Networks☆136Updated 3 weeks ago
- A Survey of Learning from Graphs with Heterophily☆69Updated last month
- Official implementation of paper "Efficient Tuning and Inference for Large Language Models on Textual Graphs"☆22Updated 2 months ago
- Official Code: TheWebConf 2022 Compact Graph Structure Learning via Mutual Information Compression☆23Updated 6 months ago