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--- |
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license: apache-2.0 |
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--- |
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## Overview |
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This dataset covers the encoder embeddings and prediction results of LLMs of paper 'Model Generalization on Text Attribute Graphs: Principles with Lagre Language Models', Haoyu Wang, Shikun Liu, Rongzhe Wei, Pan Li. |
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## Dataset Description |
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The dataset structure should be organized as follows: |
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```plaintext |
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/dataset/ |
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│── [dataset_name]/ |
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│ │── processed_data.pt # Contains labels and graph information |
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│ │── [encoder]_x.pt # Features extracted by different encoders |
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│ │── categories.csv # label name raw texts |
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│ │── raw_texts.pt # raw text of each node |
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``` |
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### File Descriptions |
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- **`processed_data.pt`**: A PyTorch file storing the processed dataset, including graph structure and node labels. Note that in heterophilic datasets, thie is named as [Dataset].pt, where Dataset could be Cornell, etc, and should be opened with DGL. |
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- **`[encoder]_x.pt`**: Feature matrices extracted using different encoders, where `[encoder]` represents the encoder name. |
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- **`categories.csv`**: raw label names. |
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- **`raw_texts.pt`**: raw node texts. Note that in heterophilic datasets, this is named as [Dataset].csv, where Dataset can be Cornell, etc. |
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### Dataset Naming Convention |
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`[dataset_name]` should be one of the following: |
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- `cora` |
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- `citeseer` |
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- `pubmed` |
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- `bookhis` |
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- `bookchild` |
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- `sportsfit` |
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- `wikics` |
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- `cornell` |
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- `texas` |
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- `wisconsin` |
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- `washington` |
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### Encoder Naming Convention |
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`[encoder]` can be one of the following: |
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- `sbert` (the sentence-bert encoder) |
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- `roberta` (the Roberta encoder) |
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- `llmicl_primary` (the vanilla LLM2Vec) |
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- `llmicl_class_aware` (the task-adaptive encoder) |
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- `llmgpt_text-embedding-3-large` (the embedding api text-embedding-3-large by openai) |
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## Results Description |
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The ./results/ folder consists of prediction results of GPT-4o in node text classification and GPT-4o-mini in homophily ratio prediction. |
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```plaintext |
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./results/nc_[DATASET]/4o/llm_baseline # node text prediction |
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./results/nc_[DATASET]/4o_mini/agenth # homophily ratio prediction |
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``` |
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