5 code implementations • 29 May 2019 • Hongtao Liu, Fangzhao Wu, Wenjun Wang, Xianchen Wang, Pengfei Jiao, Chuhan Wu, Xing Xie
In this paper we propose a neural recommendation approach with personalized attention to learn personalized representations of users and items from reviews.
1 code implementation • 27 Dec 2021 • Dongxiao He, Chundong Liang, Huixin Liu, Mingxiang Wen, Pengfei Jiao, Zhiyong Feng
Graph Convolutional Network (GCN) has shown remarkable potential of exploring graph representation.
1 code implementation • 18 Jul 2021 • Pengfei Jiao, Xuan Guo, Ting Pan, Wang Zhang, Yulong Pei
A wide variety of NE methods focus on the proximity of networks.
1 code implementation • 18 Jan 2022 • Xuan Guo, Pengfei Jiao, Ting Pan, Wang Zhang, Mengyu Jia, Danyang Shi, Wenjun Wang
Capturing structural similarity has been a hot topic in the field of network embedding recently due to its great help in understanding the node functions and behaviors.
no code implementations • 3 Jan 2021 • Di Jin, Zhizhi Yu, Pengfei Jiao, Shirui Pan, Dongxiao He, Jia Wu, Philip S. Yu, Weixiong Zhang
We conclude with discussions of the challenges of the field and suggestions of possible directions for future research.
no code implementations • 7 Nov 2023 • Hongjiang Chen, Pengfei Jiao, Huijun Tang, Huaming Wu
Temporal graph representation learning aims to generate low-dimensional dynamic node embeddings to capture temporal information as well as structural and property information.
no code implementations • 17 Nov 2023 • Shuai Wang, Tengjin Weng, Jingyi Wang, Yang shen, Zhidong Zhao, Yixiu Liu, Pengfei Jiao, Zhiming Cheng, Yaqi Wang
Medical image segmentation annotations exhibit variations among experts due to the ambiguous boundaries of segmented objects and backgrounds in medical images.