README.md

metadata

license: apache-2.0
language:
  - en
tags:
  - graph
  - text-attributed-graph
  - node-classification
  - llm
size_categories:
  - 1M<n<10M

GraspLLM Datasets

Pre-processed text-attributed graphs used in GraspLLM: Towards Zero-Shot Generalization on Text-Attributed Graphs with LLMs.

This repository hosts the raw graph (processed_data.pt) for each dataset.

Datasets

We follow the paper's 14 benchmarks:

Domain	Dataset	File
Citation	Cora, Citeseer, Pubmed, Arxiv	cora/, citeseer/, pubmed/, ogbn-arxiv/
E-commerce	Books-History, Ele-Computer, Ele-Photo	history/, computer/, photo/
Wikipedia	WikiCS	wikics/
Social	Reddit, Instagram	reddit/, instagram/
Web pages	Cornell, Texas, Washington, Wisconsin	cornell/, texas/, washington/, wisconsin/

Each <dataset>/processed_data.pt is a PyG Data object containing:

• x: node feature tensor (placeholder; replaced by Qwen3-Embedding-8B at runtime)
• edge_index: [2, E] undirected edge list
• y: node labels
• train_mask / val_mask / test_mask
• raw_texts: list of raw node texts (used to compute Qwen3 features)
• label_texts (where applicable): the textual class names

Usage

# Clone the GraspLLM code repo
git clone https://github.com/Heinz217/GraspLLM.git
cd GraspLLM

# Download this dataset bundle
huggingface-cli download Heinz217/GraspLLM-Datasets \
    --repo-type dataset \
    --local-dir ./dataset

# Configure dataset root (or just keep the default ./dataset)
export GRASPLLM_DATASET_ROOT=$PWD/dataset