TASER: Temporal Adaptive Sampling for Fast and Accurate Dynamic Graph Representation Learning

1 code implementation • 8 Feb 2024 • Gangda Deng, Hongkuan Zhou, Hanqing Zeng, Yinglong Xia, Christopher Leung, Jianbo Li, Rajgopal Kannan, Viktor Prasanna

Recently, Temporal Graph Neural Networks (TGNNs) have demonstrated state-of-the-art performance in various high-impact applications, including fraud detection and content recommendation.

Denoising Fraud Detection +1

LLM-Rec: Personalized Recommendation via Prompting Large Language Models

no code implementations • 24 Jul 2023 • Hanjia Lyu, Song Jiang, Hanqing Zeng, Yinglong Xia, Qifan Wang, Si Zhang, Ren Chen, Christopher Leung, Jiajie Tang, Jiebo Luo

Notably, the success of LLM-Rec lies in its prompting strategies, which effectively tap into the language model's comprehension of both general and specific item characteristics.

Test-Cost Sensitive Methods for Identifying Nearby Points

no code implementations • 4 Oct 2020 • Seung Gyu Hyun, Christopher Leung

Real-world applications that involve missing values are often constrained by the cost to obtain data.

reinforcement-learning Reinforcement Learning (RL)