3 citations · 4 across the 5 of their papers we have counts for
4 papers · 1 filter
Graph Unlearning via Embedding Reconstruction -- A Range-Null Space Decomposition Approach
Hang Yin, Zipeng Liu, Xiaoyong Peng +1
Graph unlearning is tailored for GNNs to handle widespread and various graph structure unlearning requests, which remain largely unexplored. The GIF (graph influence function) achi…
Improving Representation Learning of Complex Critical Care Data with ICU-BERT
Ricardo Santos, André V. Carreiro, Xi Peng +2
The multivariate, asynchronous nature of real-world clinical data, such as that generated in Intensive Care Units (ICUs), challenges traditional AI-based decision-support systems.…
Step-DPO: Step-wise Preference Optimization for Long-chain Reasoning of LLMs
Xin Lai, Zhuotao Tian, Yukang Chen +3
Mathematical reasoning presents a significant challenge for Large Language Models (LLMs) due to the extensive and precise chain of reasoning required for accuracy. Ensuring the cor…
Scalable Global Alignment Graph Kernel Using Random Features: From Node Embedding to Graph Embedding
Lingfei Wu, Ian En-Hsu Yen, Zhen Zhang +5
Graph kernels are widely used for measuring the similarity between graphs. Many existing graph kernels, which focus on local patterns within graphs rather than their global propert…