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Teaching LLMs to See Graphs: Unifying Text and Structural Reasoning
Applying Large Language Models (LLMs) to graph-structured data usually involves multi-step pipelines in which textual node attributes are compressed into single tokens and further processed by GNNs, discarding most of their semantic content. We introduce the Graph Transformer Language Model (GTLM),
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