AAAI 2026将在2026年1月20日到1月27日于新加坡（Singapore）举行。AAAI 2026会议主会共有23, 680篇论文投稿，其中4, 167 篇被接收，接收率为17.6%。
还是尝试拓展一下知识面，试着总结了其中图基础模型（graph foundation model, GFM）和文本图（text-attributed graph, TAG）高分的论文。如有疏漏，欢迎大家补充。
| 1. Unlocking Multi-Modal Potentials for Link Prediction on Dynamic Text-Attributed Graphs 2. Towards Robust Text-Attributed Federated Graph Learning: Multimodal Threats and Defense 3. THGB: A Comprehensive Benchmark for Text-attributed Heterogeneous Graphs 4. LLM-Enhanced Energy Contrastive Learning for Out-ofDistribution Detection in Text-Attributed Graphs 5. GCL-OT: Graph Contrastive Learning with Optimal Transport for Heterophilic Text-Attributed Graphs 6. Towards Effective, Stealthy, and Persistent Backdoor Attacks Targeting Graph Foundation Models 7. Source-Free Graph Foundation Model Adaptation via Pseudo-Source Reconstruction 8. SA?GFM: Enhancing Robust Graph Foundation Models with Structure-Aware Semantic Augmentation |
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1 Unlocking Multi-Modal Potentials for Link Prediction on Dynamic Text-Attributed Graphs
链接 ：++https://arxiv.org/abs/2502.19651++
作者：Yuanyuan Xu; Wenjie Zhang; Ying Zhang; Xuemin Lin; Xiwei Xu
关键词：动态文本图，多模态，链接预测
2 Towards Robust Text-Attributed Federated Graph Learning: Multimodal Threats and Defense
作者：Zitong Shi; Guancheng Wan; Wenke Huang; Yuxin Wu; Quan Zhang; Mang Ye
关键词：联邦图学习，稳健性
3 THGB: A Comprehensive Benchmark for Text-attributed Heterogeneous Graphs
链接 ：++https://github.com/xxxinxxx/THGB++
作者：Lixin Zhou; Zemin Liu; Yuan Fang; Dan Niu; Jing Ying
关键词：异质图，benchmark
4 LLM-Enhanced Energy Contrastive Learning for Out-ofDistribution Detection in Text-Attributed Graphs
作者：Xiaoxu Ma; Dong Li; Minglai Shao; Xintao Wu; Chen Zhao
关键词：分布外检测，LLM增强
5 GCL-OT: Graph Contrastive Learning with Optimal Transport for Heterophilic Text-Attributed Graphs
链接 ：++https://arxiv.org/abs/2511.16778++
作者：Yating Ren; Yikun Ban; Huobin Tan
关键词：最优传输，对比学习，异质图
6 Towards Effective, Stealthy, and Persistent Backdoor Attacks Targeting Graph Foundation Models
链接 ：++https://www.arxiv.org/abs/2511.17982++
作者：Jiayi Luo; Qingyun Sun; Lingjuan Lyu; Ziwei Zhang; Haonan Yuan; Xingcheng Fu; Jianxin Li
关键词：图基础模型，后门攻击
7 Source-Free Graph Foundation Model Adaptation via Pseudo-Source Reconstruction
作者：Liang Yang; Hui Ning; Jiaming Zhuo; Ziyi Ma; Chuan Wang; Wenning Wu; Zhen Wang
关键词：图基础模型，适配
8 SA2\text{A}^2A2GFM: Enhancing Robust Graph Foundation Models with Structure-Aware Semantic Augmentation
作者：Junhua Shi; Qingyun Sun; Haonan Yuan; Xingcheng Fu
关键词：稳健图基础模型，结构感知语义增强