activity
20202024
most citedDGraph: A Large-Scale Financial Dataset for Graph Anomaly Detection

28 citations · 67 across the 8 of their papers we have counts for

collaborators

8 papers

cs.CL2024

Can GNN be Good Adapter for LLMs?

Xuanwen Huang, Kaiqiao Han, Yang Yang +4

Recently, large language models (LLMs) have demonstrated superior capabilities in understanding and zero-shot learning on textual data, promising significant advances for many text…

cs.LG2024

Enhancing Cross-domain Link Prediction via Evolution Process Modeling

Xuanwen Huang, Wei Chow, Yize Zhu +5

This work proposes DyExpert, a dynamic graph model for cross-domain link prediction. It can explicitly model historical evolving processes to learn the evolution pattern of a speci…

cs.CL2023★ 5 cited

GraphLLM: Boosting Graph Reasoning Ability of Large Language Model

Ziwei Chai, Tianjie Zhang, Liang Wu +4

The advancement of Large Language Models (LLMs) has remarkably pushed the boundaries towards artificial general intelligence (AGI), with their exceptional ability on understanding…

cs.AI2023

How to Generate Popular Post Headlines on Social Media?

Zhouxiang Fang, Min Yu, Zhendong Fu +4

Posts, as important containers of user-generated-content pieces on social media, are of tremendous social influence and commercial value. As an integral components of a post, the h…

cs.SI2023★ 1 cited

Prompt-based Node Feature Extractor for Few-shot Learning on Text-Attributed Graphs

Xuanwen Huang, Kaiqiao Han, Dezheng Bao +4

Text-attributed Graphs (TAGs) are commonly found in the real world, such as social networks and citation networks, and consist of nodes represented by textual descriptions. Current…

cs.SI2022★ 28 cited

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

Xuanwen Huang, Yang Yang, Yang Wang +5

Graph Anomaly Detection (GAD) has recently become a hot research spot due to its practicability and theoretical value. Since GAD emphasizes the application and the rarity of anomal…

cs.SI2021★ 6 cited

How Powerful are Interest Diffusion on Purchasing Prediction: A Case Study of Taocode

Xuanwen Huang, Yang Yang, Ziqiang Cheng +5

A taocode is a kind of specially coded text-link on Taobao(the world's biggest online shopping website), through which users can share messages about products with each other. Anal…

cs.CY2020★ 27 cited

Understanding Electricity-Theft Behavior via Multi-Source Data

Wenjie Hu, Yang Yang, Jianbo Wang +2

Electricity theft, the behavior that involves users conducting illegal operations on electrical meters to avoid individual electricity bills, is a common phenomenon in the developi…