Search Results for author: Wen Tao

Found 4 papers, 2 papers with code

KGExplainer: Towards Exploring Connected Subgraph Explanations for Knowledge Graph Completion

no code implementations5 Apr 2024 Tengfei Ma, Xiang Song, Wen Tao, Mufei Li, Jiani Zhang, Xiaoqin Pan, Jianxin Lin, Bosheng Song, Xiangxiang Zeng

Knowledge graph completion (KGC) aims to alleviate the inherent incompleteness of knowledge graphs (KGs), which is a critical task for various applications, such as recommendations on the web.

Knowledge Graph Embedding

Learning to Denoise Unreliable Interactions for Link Prediction on Biomedical Knowledge Graph

no code implementations9 Dec 2023 Tengfei Ma, Yujie Chen, Wen Tao, Dashun Zheng, Xuan Lin, Patrick Cheong-lao Pang, Yiping Liu, Yijun Wang, Bosheng Song, Xiangxiang Zeng

By maximizing the mutual information between the reliable structure and smoothed semantic relations, DenoisedLP emphasizes the informative interactions for predicting relation-specific links.

Denoising Drug Discovery +2

Deep neural network based sparse measurement matrix for image compressed sensing

1 code implementation19 Jun 2018 Wenxue Cui, Feng Jiang, Xinwei Gao, Wen Tao, Debin Zhao

In this paper, a Deep neural network based Sparse Measurement Matrix (DSMM) is learned by the proposed convolutional network to reduce the sampling computational complexity and improve the CS reconstruction performance.

Image Compressed Sensing

An End-to-End Compression Framework Based on Convolutional Neural Networks

5 code implementations2 Aug 2017 Feng Jiang, Wen Tao, Shaohui Liu, Jie Ren, Xun Guo, Debin Zhao

The second CNN, named reconstruction convolutional neural network (RecCNN), is used to reconstruct the decoded image with high-quality in the decoding end.

Denoising Image Compression

Cannot find the paper you are looking for? You can Submit a new open access paper.