activity
20192026
most citedRevisiting Heterophily For Graph Neural Networks

70 citations · 136 across the 17 of their papers we have counts for

collaborators

22 papers

cs.CL2026

ControBench: An Interaction-Aware Benchmark for Controversial Discourse Analysis on Social Networks

Ta Thanh Thuy, Jiaqi Zhu, Xuan Liu +6

Understanding how people argue across ideological divides online is important for studying political polarization, misinformation, and content moderation. Existing datasets capture…

cs.LG2026

GD4: Graph-based Discrete Denoising Diffusion for MIMO Detection

Qincheng Lu, Sitao Luan, Xiao-Wen Chang

In wireless communications, recovering the optimal solution to the multiple-input multiple-output (MIMO) detection problem is NP-hard. Obtaining high-quality suboptimal solutions w…

cs.CL2025

EvoEdit: Evolving Null-space Alignment for Robust and Efficient Knowledge Editing

Sicheng Lyu, Yu Gu, Xinyu Wang +5

Large language models (LLMs) require continual updates to rectify outdated or erroneous knowledge. Model editing has emerged as a compelling paradigm for introducing targeted modif…

cs.LG2025

Exploring Heterophily in Graph-level Tasks

Qinhan Hou, Yilun Zheng, Xichun Zhang +2

While heterophily has been widely studied in node-level tasks, its impact on graph-level tasks remains unclear. We present the first analysis of heterophily in graph-level learning…

cs.LG2025

RL Fine-Tuning Heals OOD Forgetting in SFT

Hangzhan Jin, Sitao Luan, Tianwei Ni +5

Supervised Fine-Tuning (SFT) followed by Reinforcement Learning (RL) is a standard post-training recipe for improving Large Language Models (LLM) reasoning, but why it works remain…

cs.CL2025

FanChuan: A Multilingual and Graph-Structured Benchmark For Parody Detection and Analysis

Yilun Zheng, Sha Li, Fangkun Wu +9

Parody is an emerging phenomenon on social media, where individuals imitate a role or position opposite to their own, often for humor, provocation, or controversy. Detecting and an…