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@@ -10,11 +10,11 @@ SJTUTables is a benchmark dataset collection designed for Relational Table Learn
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  - TML1M is derived from the classical MovieLens1M dataset and contains three relational tables related to movie recommendation: users, movies, and ratings.
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  - TLF2K is derived from the classical LastFM2K dataset and includes three relational tables related to music preferences: artists, user-artist interactions, and user-friend relationships.
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- - TACM12K is derived from the ACM heterogeneous graph dataset and contains four relational tables for academic publications: papers, authors, writing relationships, and citation relationships.
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- Github Repo for rllm: https://github.com/rllm-team/rllm
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- Arxiv Paper for rllm: https://arxiv.org/abs/2407.20157
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  # Citation
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  - TML1M is derived from the classical MovieLens1M dataset and contains three relational tables related to movie recommendation: users, movies, and ratings.
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  - TLF2K is derived from the classical LastFM2K dataset and includes three relational tables related to music preferences: artists, user-artist interactions, and user-friend relationships.
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+ - TACM12K is derived from the ACM heterogeneous graph dataset and contains four relational tables for academic publications: papers, authors, writing relationships, and citation relationships.
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+ Github Repo for rLLM: https://github.com/rllm-team/rllm
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+ Arxiv Paper for rLLM: https://arxiv.org/abs/2407.20157
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  # Citation
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