A novel Continual Learning Dynamic Graph LLM framework (Continual-GraphLLM) is proposed to continually adapt to incoming patterns by routing them to experts specialized in similar past patterns, while mitigating the overwriting of previously learned patterns by assigning new experts to unseen patterns.
Tianhang Wan, Xin Wang, Haibo Chen et al.· Proceedings of the 32nd ACM...· 0 citations
A text-guided molecular graph generation framework that leverages the structural modeling power of graph diffusion models to achieve both strong alignment with textual descriptions and high-quality molecular structures and a molecule structure consistency loss that explicitly enforces structural coherence during genera...
Yang Yao, Xin Wang, Yaofei Wu et al.· Proceedings of the 32nd ACM...· 0 citations
This tutorial presents a comprehensive overview of three emerging and synergistic directions for tackling distribution shifts in graph learning, which highlight Graph LLMs, which combine the representational power of large language models with graph structures to enable flexible, in-context, and few-shot learning on gr...
Xin Wang, Haoyang Li, Haibo Chen et al.· Proceedings of the 32nd ACM...· 0 citations
Dynamic text-attributed graphs (DyTAGs) exhibit coupled textual and structural dynamics, and existing mainstream approaches for DyTAGs extend conventional large language models (LLMs) to capture both dynamics, thereby giving rise to dynamic graph LLMs. However, in DyTAGs, the continuous emergence of new nodes and edges...
Tianhang Wan, Xin Wang, Haibo Chen et al.· Proceedings of the 32nd ACM...· 0 citations
Graph machine learning has witnessed rapid progress across both academia and industry. However, most existing methods are developed under the in-distribution (I.D.) hypothesis, which assumes that training and testing graph data are drawn from the same distribution. In real-world applications—ranging from dynamic knowle...
Xin Wang, Haoyang Li, Haibo Chen et al.· Proceedings of the 32nd ACM...· 0 citations
We use cookies to run the site and, with your consent, for analytics and to show ads.
See our Cookie Policy.
