Robustness in Text-Attributed Graph Learning: Insights, Trade-offs, and New Defenses
Runlin Lei · Lu Yi · Mingguo He · Pengyu Qiu · Zhewei Wei · Yongchao Liu · Chuntao Hong
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Runlin Lei · Lu Yi · Mingguo He · Pengyu Qiu · Zhewei Wei · Yongchao Liu · Chuntao Hong
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Large language models (LLMs) have shown promise in simulating human-like social behaviors. Social graphs provide high-quality supervision signals that encode both local interactions and global network structure, yet they remain underutilized for LLM training. To address this gap, we propose Graph...
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Large Language Models (LLMs) have shown great potential in molecular understanding by aligning molecular representations with text. However, existing approaches remain limited to static motif recognition without comprehending the generative principles—the connection rules governing how motifs ass...
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Jianliang Wu · Anjie Qiao · Zhen Wang · Zhewei Wei · Sheng Chen