Improve dataset card: add metadata and link to paper

README.md

@@ -1,10 +1,14 @@
 ---
+license: cc-by-nc-sa-4.0
+task_categories:
+- graph-ml
 configs:
 - config_name: default
   data_files:
-    - split: train
-      path: "data/*.parquet"
+  - split: train
+    path: data/*.parquet
 ---
+
 <h1 align="center"> HiGraph: A Large-Scale Hierarchical Graph Dataset </h1>
 
 <div align="center">
@@ -14,7 +18,8 @@ configs:
 <p><strong>Hierarchical Graph Dataset for Malware Analysis with Function Call Graphs and Control Flow Graphs</strong></p>
 
 
-<a href="https://arxiv.org/pdf/2509.02113"><img src="https://img.shields.io/badge/arXiv-2509.02113-b31b1b.svg" alt="arXiv" /></a>
+<a href="https://huggingface.co/papers/2509.02113"><img src="https://img.shields.io/badge/arXiv-2509.02113-b31b1b.svg" alt="arXiv" /></a>
+<a href="https://github.com/hzcheney/HiGraph"><img src="https://img.shields.io/badge/GitHub-Repository-blue?logo=github" alt="GitHub" /></a>
                 <img src="https://img.shields.io/badge/🤗%20Hugging%20Face-Datasets-yellow" alt="Hugging Face" />
                 <img src="https://img.shields.io/badge/Dataset-6.17GB-blue" alt="Dataset Size" />
                 <img src="https://img.shields.io/badge/Period-2012--2022-orange" alt="Time Period" />
@@ -22,7 +27,7 @@ configs:
 
 A comprehensive hierarchical graph-based dataset for malware analysis and detection.
 
-[Overview](#overview) • [Interactive Explorer](#interactive-visualization) • [Download](#download-dataset) 
+[Overview](#overview) • [Interactive Explorer](#interactive-visualization) • [Download](#download-dataset) • [GitHub](https://github.com/hzcheney/HiGraph)
 
 </div>
 
@@ -30,6 +35,8 @@ A comprehensive hierarchical graph-based dataset for malware analysis and detect
 
 **HiGraph** is a novel, large-scale dataset that models each application as a hierarchical graph: a local **Control Flow Graph (CFG)** capturing intra-function logic and a global **Function Call Graph (FCG)** capturing inter-function interactions.
 
+The dataset was introduced in the paper [HiGraph: A Large-Scale Hierarchical Graph Dataset for Malware Analysis](https://huggingface.co/papers/2509.02113).
+
 Graph-based methods have shown great promise in malware analysis, yet the lack of large-scale, hierarchical graph datasets limits further advances in this field. This hierarchical design facilitates the development of robust detection models that are more resilient to obfuscation, model aging, and malware evolution.
 
 
@@ -64,6 +71,7 @@ Access the complete HiGraph dataset through multiple platforms:
 |----------|-------------|------|
 | 🤗 **Hugging Face** | Primary dataset repository | [View on Hugging Face](https://huggingface.co/datasets/hzcheney/Hi-Graph/tree/main) |
 | 🌐 **Project Page** | Interactive explorer | [HiGraph Explorer](https://higraph.org/) |
+| 💻 **GitHub** | Code and tools | [HiGraph Repository](https://github.com/hzcheney/HiGraph) |
 
 </div>
 
@@ -74,7 +82,7 @@ If you find HiGraph useful in your research, please cite:
 ```
 @article{chen2025higraph,
   title={HiGraph: A Large-Scale Hierarchical Graph Dataset for Malware Analysis},
-  author={Chen, Han and Wang, Hanchen and Chen, Hongmei and Zhang, Ying and Qin, Lu and Zhang, Wenjie},
+  author={Chen, Han and Wang, Hanchen and Chen, Hongmei and Zhang, Ying English and Qin, Lu and Zhang, Wenjie},
   journal={arXiv preprint arXiv:2509.02113},
   year={2025}
 }
@@ -93,4 +101,4 @@ pip install -r requirements.txt
 
 ## 📄 License
 
-This dataset is licensed under the **Creative Commons Attribution-NonCommercial-ShareAlike (CC-BY-NC-SA)** license. See the [LICENSE](LICENSE) file for details.
+This dataset is licensed under the **Creative Commons Attribution-NonCommercial-ShareAlike (CC-BY-NC-SA)** license. See the [LICENSE](https://github.com/hzcheney/HiGraph/blob/master/LICENSE) file for details.