Unsupervised Adversarially-Robust Representation Learning on Graphs

Jiarong Xu, Yang Yang, Junru Chen +4

Boosting Diffusion-Based Text Image Super-Resolution Model Towards Generalized Real-World Scenarios

Chenglu Pan, Xiaogang Xu, Ganggui Ding +4

Unleashing the Power of Emojis in Texts via Self-supervised Graph Pre-Training

Zhou Zhang, Dongzeng Tan, Jiaan Wang +2

DGraph: A Large-Scale Financial Dataset for Graph Anomaly Detection

Xuanwen Huang, Yang Yang, Yang Wang +5

DropMessage: Unifying Random Dropping for Graph Neural Networks

Taoran Fang, Zhiqing Xiao, Chunping Wang +3

Blindfolded Attackers Still Threatening: Strict Black-Box Adversarial Attacks on Graphs

Jiarong Xu, Yizhou Sun, Xin Jiang +4

Traceable LLM Reasoning for Fake-Order Fraud Detection

Siqi You, Bingsong Xu, Zhixian Zheng +4

Cross-Lingual Knowledge Editing in Large Language Models

Jiaan Wang, Yunlong Liang, Zengkui Sun +3

Unifying Text Semantics and Graph Structures for Temporal Text-attributed Graphs with Large Language Models

Siwei Zhang, Yun Xiong, Yateng Tang +6

Secure Confidential Business Information When Sharing Machine Learning Models

Yunfan Yang, Jiarong Xu, Hongzhe Zhang +1

Tree of Preferences for Diversified Recommendation

Hanyang Yuan, Ning Tang, Tongya Zheng +7

Can Modifying Data Address Graph Domain Adaptation?

Renhong Huang, Jiarong Xu, Xin Jiang +2

Rethinking Time Encoding via Learnable Transformation Functions

Xi Chen, Yateng Tang, Jiarong Xu +5

CT-Eval: Benchmarking Chinese Text-to-Table Performance in Large Language Models

Haoxiang Shi, Jiaan Wang, Jiarong Xu +2

Better with Less: A Data-Active Perspective on Pre-Training Graph Neural Networks

Jiarong Xu, Renhong Huang, Xin Jiang +4

DISC-FinLLM: A Chinese Financial Large Language Model based on Multiple Experts Fine-tuning

Wei Chen, Qiushi Wang, Zefei Long +8

Unveiling Privacy Vulnerabilities: Investigating the Role of Structure in Graph Data

Hanyang Yuan, Jiarong Xu, Cong Wang +4

When to Pre-Train Graph Neural Networks? From Data Generation Perspective!

Yuxuan Cao, Jiarong Xu, Carl Yang +5

Graph Robustness Benchmark: Benchmarking the Adversarial Robustness of Graph Machine Learning

Qinkai Zheng, Xu Zou, Yuxiao Dong +5

Can Graph Neural Networks Expose Training Data Properties? An Efficient Risk Assessment Approach

Hanyang Yuan, Jiarong Xu, Renhong Huang +3

ChartWalker: Benchmarking the Cross-Chart RAG Task with Hierarchical Knowledge Graphs

Ning Tang, Chenghan Xie, Hanyang Yuan +6

Unifying Structure Reasoning and Language Model Pre-training for Complex Reasoning

Siyuan Wang, Zhongyu Wei, Jiarong Xu +2

Privacy-Preserving Credit Risk Prediction with Alternative Data

Hongzhe Zhang, Jiarong Xu, Jing He +1

RAPO: Expanding Exploration for LLM Agents via Retrieval-Augmented Policy Optimization

Siwei Zhang, Yun Xiong, Xi Chen +4

PolicySim: An LLM-Based Agent Social Simulation Sandbox for Proactive Policy Optimization

Renhong Huang, Ning Tang, Jiarong Xu +6

An Empirical Study of Many-to-Many Summarization with Large Language Models

Jiaan Wang, Fandong Meng, Zengkui Sun +5

LOGIN: A Large Language Model Consulted Graph Neural Network Training Framework

Yiran Qiao, Xiang Ao, Yang Liu +3

Understanding Translationese in Cross-Lingual Summarization

Jiaan Wang, Fandong Meng, Yunlong Liang +4

A Unified Continuous Learning Framework for Multi-modal Knowledge Discovery and Pre-training

Zhihao Fan, Zhongyu Wei, Jingjing Chen +4

How to Use Graph Data in the Wild to Help Graph Anomaly Detection?

Yuxuan Cao, Jiarong Xu, Chen Zhao +4

Towards Fair Graph Federated Learning via Incentive Mechanisms

Chenglu Pan, Jiarong Xu, Yue Yu +5

Guarding Organizations Against Malware Risk: A Novel Graph-Based Malware Detection Method

Yinan Gao, Jiarong Xu, Xiaohang Zhao +1

The paper introduces MalGuard, a graph‑based malware detection system that groups basic blocks into operational roles and learns expressive program‑graph representations to improve…