Cheng–Te Li

An Ensemble of Retrieval-Based and Generation-Based Human-Computer Conversation Systems

2018

Human-computer conversation systems have attracted much attention in Natural Language Processing. Conversation systems can be roughly divided into two categories: retrieval-based and generation-based systems. Retrieval systems search a user-issued utterance (namely a query ) in …

Adaptive Multi-grained Graph Neural Networks.

2020

Graph Neural Networks (GNNs) have been increasingly deployed in a multitude of different applications that involve node-wise and graph-level tasks. The existing literature usually studies these questions independently while they are inherently correlated. We propose …

Fraudulent User Detection with Time-enhanced Graph Neural Networks on E-Commerce Platforms

2023

In this paper, we propose a Graph Neural Network-based model to detect fraudulent users on e-commerce platforms without relying on rating scores. Utilizing user-product bipartite graphs and timestamp data, we capture temporal patterns and neighborhood …

Graph Neural Networks for Tabular Data Learning: A Survey with Taxonomy and Directions

2024 · arXiv (Cornell University)

In this survey, we dive into Tabular Data Learning (TDL) using Graph Neural Networks (GNNs), a domain where deep learning-based approaches have increasingly shown superior performance in both classification and regression tasks compared to traditional …