activity
20242026
most citedGraph Foundation Models: A Comprehensive Survey

3 citations · 5 across the 14 of their papers we have counts for

collaborators
Showing 2025Show all

5 papers · 1 filter

cs.LG2025

Interpretable Graph-Language Modeling for Detecting Youth Illicit Drug Use

Yiyang Li, Zehong Wang, Zhengqing Yuan +4

Illicit drug use among teenagers and young adults (TYAs) remains a pressing public health concern, with rising prevalence and long-term impacts on health and well-being. To detect…

cs.CL2025

Food4All: An Agentic Framework and Benchmark for Food Resource Navigation with Adaptive User Understanding

Yiyang Li, Weixiang Sun, Tianyi Ma +3

Food assistance referral requires conversational agents to translate underspecified, often noisy help-seeking dialogues into locally valid resource recommendations. We present Food…

cs.CL2025

LLMs4All: A Review of Large Language Models Across Academic Disciplines

Yanfang Ye, Zheyuan Zhang, Tianyi Ma +26

Cutting-edge Artificial Intelligence (AI) techniques keep reshaping our view of the world. For example, Large Language Models (LLMs) based applications such as ChatGPT have shown t…

cs.LG2025★ 3 cited

Graph Foundation Models: A Comprehensive Survey

Zehong Wang, Zheyuan Liu, Tianyi Ma +16

Graph-structured data pervades domains such as social networks, biological systems, knowledge graphs, and recommender systems. While foundation models have transformed natural lang…

cs.CL2025

EfficientLLM: Efficiency in Large Language Models

Zhengqing Yuan, Weixiang Sun, Yixin Liu +13

Large Language Models (LLMs) have driven significant progress, yet their growing parameter counts and context windows incur prohibitive compute, energy, and monetary costs. We intr…