:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Wang, Zehong, Liu, Zheyuan, Ma, Tianyi, Li, Jiazheng, Zhang, Zheyuan, Fu, Xingbo, Li, Yiyang, Yuan, Zhengqing, Song, Wei, Ma, Yijun, Zeng, Qingkai, Chen, Xiusi, Zhao, Jianan, Li, Jundong, Jiang, Meng, Lio, Pietro, Chawla, Nitesh, Zhang, Chuxu, Ye, Yanfang
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Artificial Intelligence Social and Information Networks
Online Access:	https://arxiv.org/abs/2505.15116
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Towards Graph Foundation Models: Learning Generalities Across Graphs via Task-Trees
by: Wang, Zehong, et al.
Published: (2024)

GFT: Graph Foundation Model with Transferable Tree Vocabulary
by: Wang, Zehong, et al.
Published: (2024)

Beyond Message Passing: Neural Graph Pattern Machine
by: Wang, Zehong, et al.
Published: (2025)

Generative Graph Pattern Machine
by: Wang, Zehong, et al.
Published: (2025)

Interpretable Graph-Language Modeling for Detecting Youth Illicit Drug Use
by: Li, Yiyang, et al.
Published: (2025)

OPBench: A Graph Benchmark to Combat the Opioid Crisis
by: Ma, Tianyi, et al.
Published: (2026)

LongDA: Benchmarking LLM Agents for Long-Document Data Analysis
by: Li, Yiyang, et al.
Published: (2026)

Can LLMs Convert Graphs to Text-Attributed Graphs?
by: Wang, Zehong, et al.
Published: (2024)

LLM-Empowered Class Imbalanced Graph Prompt Learning for Online Drug Trafficking Detection
by: Ma, Tianyi, et al.
Published: (2025)

BHyGNN+: Unsupervised Representation Learning for Heterophilic Hypergraphs
by: Ma, Tianyi, et al.
Published: (2026)

Policy4OOD: A Knowledge-Guided World Model for Policy Intervention Simulation against the Opioid Overdose Crisis
by: Ma, Yijun, et al.
Published: (2026)

Subgraph Pooling: Tackling Negative Transfer on Graphs
by: Wang, Zehong, et al.
Published: (2024)

Training MLPs on Graphs without Supervision
by: Wang, Zehong, et al.
Published: (2024)

SimMLP: Training MLPs on Graphs without Supervision
by: Wang, Zehong, et al.
Published: (2024)

AgentRouter: A Knowledge-Graph-Guided LLM Router for Collaborative Multi-Agent Question Answering
by: Zhang, Zheyuan, et al.
Published: (2025)

NGQA: A Nutritional Graph Question Answering Benchmark for Personalized Health-aware Nutritional Reasoning
by: Zhang, Zheyuan, et al.
Published: (2024)

UGMAE: A Unified Framework for Graph Masked Autoencoders
by: Tian, Yijun, et al.
Published: (2024)

GLEN-Bench: A Graph-Language based Benchmark for Nutritional Health
by: Huang, Jiatan, et al.
Published: (2026)

Instance-Aware Graph Prompt Learning
by: Li, Jiazheng, et al.
Published: (2024)

Graph Prompting for Graph Learning Models: Recent Advances and Future Directions
by: Fu, Xingbo, et al.
Published: (2025)

MOPI-HFRS: A Multi-objective Personalized Health-aware Food Recommendation System with LLM-enhanced Interpretation
by: Zhang, Zheyuan, et al.
Published: (2024)

Diet-ODIN: A Novel Framework for Opioid Misuse Detection with Interpretable Dietary Patterns
by: Zhang, Zheyuan, et al.
Published: (2024)

Why Semantic Entropy Fails: Geometry-Aware and Calibrated Uncertainty for Policy Optimization
by: Zhang, Zheyuan, et al.
Published: (2026)

NG-Router: Graph-Supervised Multi-Agent Collaboration for Nutrition Question Answering
by: Shi, Kaiwen, et al.
Published: (2025)

Graph is a Substrate Across Data Modalities
by: Li, Ziming, et al.
Published: (2026)

Can we Soft Prompt LLMs for Graph Learning Tasks?
by: Liu, Zheyuan, et al.
Published: (2024)

Semantic Refinement with LLMs for Graph Representations
by: Thapaliya, Safal, et al.
Published: (2025)

Food4All: A Multi-Agent Framework for Real-time Free Food Discovery with Integrated Nutritional Metadata
by: Yuan, Zhengqing, et al.
Published: (2025)

EvolveRouter: Co-Evolving Routing and Prompt for Multi-Agent Question Answering
by: Huang, Jiatan, et al.
Published: (2026)

MAPRO: Recasting Multi-Agent Prompt Optimization as Maximum a Posteriori Inference
by: Zhang, Zheyuan, et al.
Published: (2025)

BLURR: A Boosted Low-Resource Inference for Vision-Language-Action Models
by: Ma, Xiaoyu, et al.
Published: (2025)

CiteAudit: You Cited It, But Did You Read It? A Benchmark for Verifying Scientific References in the LLM Era
by: Shi, Kaiwen, et al.
Published: (2026)

AutoData: A Multi-Agent System for Open Web Data Collection
by: Ma, Tianyi, et al.
Published: (2025)

Generalizing GNNs with Tokenized Mixture of Experts
by: Guo, Xiaoguang, et al.
Published: (2026)

Safety in Graph Machine Learning: Threats and Safeguards
by: Wang, Song, et al.
Published: (2024)

On the Safety of Graph Representation Learning
by: Guo, Xiaoguang, et al.
Published: (2026)

EvoTaxo: Building and Evolving Taxonomy from Social Media Streams
by: Li, Yiyang, et al.
Published: (2026)

Drift-Bench: Diagnosing Cooperative Breakdowns in LLM Agents under Input Faults via Multi-Turn Interaction
by: Bao, Han, et al.
Published: (2026)

Why Reasoning Fails to Plan: A Planning-Centric Analysis of Long-Horizon Decision Making in LLM Agents
by: Wang, Zehong, et al.
Published: (2026)

GraphTOP: Graph Topology-Oriented Prompting for Graph Neural Networks
by: Fu, Xingbo, et al.
Published: (2025)