most citedTowards Few-shot Self-explaining Graph Neural Networks

1 citations · 1 across the 3 of their papers we have counts for

collaborators

5 papers

cs.CV2025

SentiFormer: Metadata Enhanced Transformer for Image Sentiment Analysis

Bin Feng, Shulan Ruan, Mingzheng Yang +4

As more and more internet users post images online to express their daily emotions, image sentiment analysis has attracted increasing attention. Recently, researchers generally ten…

cs.AI2024

Stepwise Reasoning Error Disruption Attack of LLMs

Jingyu Peng, Maolin Wang, Xiangyu Zhao +6

Large language models (LLMs) have made remarkable strides in complex reasoning tasks, but their safety and robustness in reasoning processes remain underexplored. Existing attacks…

q-bio.BM2024

DeltaDock: A Unified Framework for Accurate, Efficient, and Physically Reliable Molecular Docking

Jiaxian Yan, Zaixi Zhang, Jintao Zhu +3

Molecular docking, a technique for predicting ligand binding poses, is crucial in structure-based drug design for understanding protein-ligand interactions. Recent advancements in…

cs.SE2024

RePair: Automated Program Repair with Process-based Feedback

Yuze Zhao, Zhenya Huang, Yixiao Ma +6

The gap between the trepidation of program reliability and the expense of repairs underscores the indispensability of Automated Program Repair (APR). APR is instrumental in transfo…

cs.LG20241 cited

Towards Few-shot Self-explaining Graph Neural Networks

Jingyu Peng, Qi Liu, Linan Yue +3

Recent advancements in Graph Neural Networks (GNNs) have spurred an upsurge of research dedicated to enhancing the explainability of GNNs, particularly in critical domains such as…