2 papers
cs.IR2025
: Hierarchical Information Extraction via Encoding and Embedding
Tianru Zhang, Li Ju, Prashant Singh +1
Analyzing large-scale datasets, especially involving complex and high-dimensional data like images, is particularly challenging. While self-supervised learning (SSL) has proven eff…
cs.CV2023
Deep Graph Reprogramming
Yongcheng Jing, Chongbin Yuan, Li Ju +3
In this paper, we explore a novel model reusing task tailored for graph neural networks (GNNs), termed as "deep graph reprogramming". We strive to reprogram a pre-trained GNN, with…