most citedGraph Foundation Models: A Comprehensive Survey

3 citations · 3 across the 9 of their papers we have counts for

collaborators

9 papers

cs.AI2026

Object-Centric Environment Modeling for Agentic Tasks

Yiyang Li, Tianyi Ma, Zehong Wang +2

Large language model (LLM) agents can improve through accumulated experience, but free-form textual memories become difficult to maintain, validate, and reuse as interactions grow.…

cs.LG2026

SupraBench: A Benchmark for Supramolecular Chemistry

Tianyi Ma, Yijun Ma, Zehong Wang +6

Supramolecular chemistry, which includes the study of non-covalent host-guest assemblies, has advanced various applications. However, designing host-guest systems remains time-cons…

cs.AI2026

MDForge: Agentic Molecular Dynamics Pipeline Design under Sparse Simulator Feedback

Zehong Wang, Yijun Ma, Connor R. Schmidt +7

Molecular dynamics (MD) is the canonical in-silico method for atomistic molecular science, simulating molecular behavior from first-principle physics. Designing an MD pipeline for…

cs.LG2026

ProPlay: Procedural World Models for Self-Evolving LLM Agents

Yijun Ma, Zehong Wang, Yiyang Li +5

Self-evolving agents are expected to improve through interaction without external supervision, but this remains difficult in partially observable environments where agents must exp…

cs.LG2026

Policy4OOD: A Knowledge-Guided World Model for Policy Intervention Simulation against the Opioid Overdose Crisis

Yijun Ma, Zehong Wang, Weixiang Sun +4

The opioid epidemic remains one of the most severe public health crises in the United States, yet evaluating policy interventions before implementation is difficult: multiple polic…

cs.AI2026

Why Reasoning Fails to Plan: A Planning-Centric Analysis of Long-Horizon Decision Making in LLM Agents

Zehong Wang, Fang Wu, Hongru Wang +8

Large language model (LLM)-based agents exhibit strong step-by-step reasoning capabilities over short horizons, yet often fail to sustain coherent behavior over long planning horiz…

cs.LG2026

Temporal Graph Pattern Machine

Yijun Ma, Zehong Wang, Weixiang Sun +1

Temporal graph learning is pivotal for deciphering dynamic systems, where the core challenge lies in explicitly modeling the underlying evolving patterns that govern network transf…

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…