activity
20232026
most citedGraph Domain Adaptation: Challenges, Progress and Prospects

15 citations · 32 across the 6 of their papers we have counts for

collaborators

7 papers

cs.AI2026

DIVA-GRPO: Enhancing Multimodal Reasoning through Difficulty-Adaptive Variant Advantage

Haowen Gao, Zhenyu Zhang, Liang Pang +7

Reinforcement learning (RL) with group relative policy optimization (GRPO) has become a widely adopted approach for enhancing the reasoning capabilities of multimodal large languag…

cs.AI2025

BotTrans: A Multi-Source Graph Domain Adaptation Approach for Social Bot Detection

Boshen Shi, Yongqing Wang, Fangda Guo +3

Transferring extensive knowledge from relevant social networks has emerged as a promising solution to overcome label scarcity in detecting social bots and other anomalies with GNN-…

cs.CL2024

Learning Evolving Tools for Large Language Models

Guoxin Chen, Zhong Zhang, Xin Cong +5

Tool learning enables large language models (LLMs) to interact with external tools and APIs, greatly expanding the application scope of LLMs. However, due to the dynamic nature of…

cs.LG2024★ 15 cited

Graph Domain Adaptation: Challenges, Progress and Prospects

Boshen Shi, Yongqing Wang, Fangda Guo +3

As graph representation learning often suffers from label scarcity problems in real-world applications, researchers have proposed graph domain adaptation (GDA) as an effective know…

cs.SI2024

Skyline Community Search over Edge-Attributed Bipartite Graphs

Fangda Guo, Xuanpu Luo, Shiyuan Xu +4

Bipartite graphs, modeling relationships between two types of entities, are widely used in practical applications. Community search, a fundamental problem in bipartite graphs, has…

cs.LG2023★ 11 cited

Causality and Independence Enhancement for Biased Node Classification

Guoxin Chen, Yongqing Wang, Fangda Guo +4

Most existing methods that address out-of-distribution (OOD) generalization for node classification on graphs primarily focus on a specific type of data biases, such as label selec…

cs.SI2023★ 6 cited

FCS-HGNN: Flexible Multi-type Community Search in Heterogeneous Information Networks

Guoxin Chen, Fangda Guo, Yongqing Wang +4

Community search is a personalized community discovery problem designed to identify densely connected subgraphs containing the query node. Recently, community search in heterogeneo…