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Found 2 papers, 1 papers with code
Investigating Instruction Tuning Large Language Models on Graphs
Inspired by the recent advancements of Large Language Models (LLMs) in NLP tasks, there's growing interest in applying LLMs to graph-related tasks.
Environment Diversification with Multi-head Neural Network for Invariant Learning
On this issue, a research direction, invariant learning, has been proposed to extract invariant features insensitive to the distributional changes.
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