Search Results for author: Dan Lin

Found 8 papers, 1 papers with code

River of No Return: Graph Percolation Embeddings for Efficient Knowledge Graph Reasoning

no code implementations17 May 2023 Kai Wang, Siqiang Luo, Dan Lin

We study Graph Neural Networks (GNNs)-based embedding techniques for knowledge graph (KG) reasoning.

An EEG Channel Selection Framework for Driver Drowsiness Detection via Interpretability Guidance

no code implementations26 Apr 2023 Xinliang Zhou, Dan Lin, Ziyu Jia, Jiaping Xiao, Chenyu Liu, Liming Zhai, Yang Liu

However, the raw EEG data is inherently noisy and redundant, which is neglected by existing works that just use single-channel EEG data or full-head channel EEG data for model training, resulting in limited performance of driver drowsiness detection.

EEG Electroencephalogram (EEG)

Defend Data Poisoning Attacks on Voice Authentication

no code implementations9 Sep 2022 Ke Li, Cameron Baird, Dan Lin

With the advances in deep learning, speaker verification has achieved very high accuracy and is gaining popularity as a type of biometric authentication option in many scenes of our daily life, especially the growing market of web services.

Data Poisoning Ensemble Learning +1

PRSNet: Part Relation and Selection Network for Bone Age Assessment

no code implementations5 Sep 2019 Yuanfeng Ji, Hao Chen, Dan Lin, Xiaohua Wu, Di Lin

These kinds of information can be effectively captured by the relation of different anatomical parts of hand bone.

Relation

T-EDGE: Temporal WEighted MultiDiGraph Embedding for Ethereum Transaction Network Analysis

1 code implementation13 May 2019 Jiajing Wu, Dan Lin, Zibin Zheng, Qi Yuan

By taking the realistic rules and features of transaction networks into consideration, we first model the Ethereum transaction network as a Temporal Weighted Multidigraph (TWMDG), where each node is a unique Ethereum account and each edge represents a transaction weighted by amount and assigned with timestamp.

Social and Information Networks Applications

Knowledge Graph Embedding with Entity Neighbors and Deep Memory Network

no code implementations11 Aug 2018 Kai Wang, Yu Liu, Xiujuan Xu, Dan Lin

Knowledge Graph Embedding (KGE) aims to represent entities and relations of knowledge graph in a low-dimensional continuous vector space.

Knowledge Graph Embedding

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