28 citations · 28 across the 5 of their papers we have counts for
6 papers
DISRL: Dual-Scale Incremental Semi-Supervised Reinforcement Learning for Dynamic Community Tracking
Tianming Zhang, Jinxu Wang, Yixuan Zhang +4
Dynamic local community detection tracks the evolving community of designated seed nodes across graph snapshots. However, it faces two critical challenges: temporal supervision unc…
MDTE: Minority-Aware Diffusion over Temporal Edge Events for Imbalanced Node Classification
Zhou Zelong, Zhang Tianming, Yang Zhengyi +4
Class-imbalanced node classification on temporal graphs is challenging because majority-dominated temporal propagation progressively assimilates minority representations, while con…
EHHN: An Event-driven Heterogeneous Hypergraph Network for Object-Centric Next Activity Prediction
Jiaxing Wang, Kaitao Chen, Zhubin Han +4
Next activity prediction helps service-oriented processes anticipate upcoming steps before delays, exceptions, or service-level risks occur. Most existing methods assume classical…
FGTR: Fine-Grained Multi-Table Retrieval via Hierarchical LLM Reasoning
Chaojie Sun, Bin Cao, Tiantian Li +3
With the rapid advancement of large language models (LLMs), growing efforts have been made on LLM-based table retrieval. However, existing studies typically focus on single-table q…
Benchmarking Text-to-Python against Text-to-SQL: The Impact of Explicit Logic and Ambiguity
Hangle Hu, Chenyu Hou, Bin Cao +1
While Text-to-SQL remains the dominant approach for database interaction, real-world analytics increasingly require the flexibility of general-purpose programming languages such as…
Embrace Opportunities and Face Challenges: Using ChatGPT in Undergraduate Students' Collaborative Interdisciplinary Learning
Gaoxia Zhu, Xiuyi Fan, Chenyu Hou +6
ChatGPT, launched in November 2022, has gained widespread attention from students and educators globally, with an online report by Hu (2023) stating it as the fastest-growing consu…