GPT做不好圖生成？G2PT 模型利用序列化技術提升效率與質量
在科學與技術的交匯點上，圖（Graphs）作爲表達複雜關係的重要工具，正在逐漸受到研究者的關注。從化學分子設計到社交網絡分析，圖在衆多領域扮演着不可或缺的角色。然而，如何高效、靈活地生成圖形，一直以來都是一個頗具挑戰性的問題。近日，塔夫茨大學、東北大學和康奈爾大學的研究團隊聯手推出了一項名爲 Graph Generative Pre-trained Transformer(G2PT)的自迴歸模型，旨在重新定義圖生成與表示方式。圖源備註：圖片由AI生成，圖片授權服務商Midjourney與傳統圖生成模型依賴鄰接矩陣（
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