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README.md
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@@ -24,24 +24,24 @@ We build **LLMs**, develop LLMs as **Agents** as well as develop related LLM tra
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**[APAR](https://arxiv.org/abs/2401.06761)**.
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We also work on **LLM evaluations**:
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**[AlignBench](https://github.com/THUDM/AlignBench)**,
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**[LongBench](https://github.com/THUDM/LongBench)**,
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**[NaturalCodeBench](https://github.com/THUDM/NaturalCodeBench)**.
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We also **pre-train graph neural networks**:
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**[GraphMAE](https://github.com/THUDM/GraphMAE)**,
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**[GPT-GNN](https://github.com/acbull/GPT-GNN)**,
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**[GCC](https://github.com/THUDM/CogDL)**,
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**[SelfKG](https://github.com/THUDM/SelfKG)**.
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We also work on **graph embedding theory, algorithms, and systems**:
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**[ProNE](https://github.com/THUDM/ProNE)**,
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**[NetSMF](https://github.com/xptree/NetSMF)**,
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**[NetMF](https://github.com/xptree/NetMF)**.
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We started with **social networks and graphs**, and always love them:
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**[APAR](https://arxiv.org/abs/2401.06761)**.
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We also work on **LLM evaluations**:
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**[AgentBench](https://github.com/THUDM/AgentBench)**,
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**[AlignBench](https://github.com/THUDM/AlignBench)**,
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**[LongBench](https://github.com/THUDM/LongBench)**,
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**[NaturalCodeBench](https://github.com/THUDM/NaturalCodeBench)**.
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We also **pre-train graph neural networks**:
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**[CogDL](https://github.com/THUDM/CogDL)**,
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**[GraphMAE](https://github.com/THUDM/GraphMAE)**,
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**[GPT-GNN](https://github.com/acbull/GPT-GNN)**,
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**[GCC](https://github.com/THUDM/CogDL)**,
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**[SelfKG](https://github.com/THUDM/SelfKG)**.
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We also work on **graph embedding theory, algorithms, and systems**:
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**[SketchNE](https://github.com/THU-numbda/SketchNE)**,
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**[ProNE](https://github.com/THUDM/ProNE)**,
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**[NetSMF](https://github.com/xptree/NetSMF)**,
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**[NetMF](https://github.com/xptree/NetMF)**.
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We started with **social networks and graphs**, and always love them:
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**[AMiner](https://www.aminer.cn/)**.
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