1 citations · 2 across the 3 of their papers we have counts for
3 papers
cs.CL2024★ 1 cited
Mixture-of-LoRAs: An Efficient Multitask Tuning for Large Language Models
Wenfeng Feng, Chuzhan Hao, Yuewei Zhang +2
Instruction Tuning has the potential to stimulate or enhance specific capabilities of large language models (LLMs). However, achieving the right balance of data is crucial to preve…
cs.LG2022★ 1 cited
Subgraph Frequency Distribution Estimation using Graph Neural Networks
Zhongren Chen, Xinyue Xu, Shengyi Jiang +2
Small subgraphs (graphlets) are important features to describe fundamental units of a large network. The calculation of the subgraph frequency distributions has a wide application…
cs.LG2021
ProtGNN: Towards Self-Explaining Graph Neural Networks
Zaixi Zhang, Qi Liu, Hao Wang +2
Despite the recent progress in Graph Neural Networks (GNNs), it remains challenging to explain the predictions made by GNNs. Existing explanation methods mainly focus on post-hoc e…