ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2202.10454
  4. Cited By
A Novel Anomaly Detection Method for Multimodal WSN Data Flow via a
  Dynamic Graph Neural Network

A Novel Anomaly Detection Method for Multimodal WSN Data Flow via a Dynamic Graph Neural Network

19 February 2022
Qinghao Zhang
Miao Ye
Hongbing Qiu
Yong Wang
Xiaofang Deng
ArXiv (abs)PDFHTML

Papers citing "A Novel Anomaly Detection Method for Multimodal WSN Data Flow via a Dynamic Graph Neural Network"

13 / 13 papers shown
Title
Graph Neural Network-Based Anomaly Detection in Multivariate Time Series
Graph Neural Network-Based Anomaly Detection in Multivariate Time Series
Ailin Deng
Bryan Hooi
AI4TS
81
881
0
13 Jun 2021
Anomaly Detection on Attributed Networks via Contrastive Self-Supervised
  Learning
Anomaly Detection on Attributed Networks via Contrastive Self-Supervised Learning
Yixin Liu
Zhao Li
Shirui Pan
Chen Gong
Chuan Zhou
George Karypis
125
305
0
27 Feb 2021
ResGCN: Attention-based Deep Residual Modeling for Anomaly Detection on
  Attributed Networks
ResGCN: Attention-based Deep Residual Modeling for Anomaly Detection on Attributed Networks
Yulong Pei
Tianjin Huang
Werner van Ipenburg
Mykola Pechenizkiy
GNN
102
79
0
30 Sep 2020
Multivariate Time-series Anomaly Detection via Graph Attention Network
Multivariate Time-series Anomaly Detection via Graph Attention Network
Hang Zhao
Yujing Wang
Juanyong Duan
Congrui Huang
Defu Cao
Yunhai Tong
Bixiong Xu
Jing Bai
Jie Tong
Qi Zhang
AI4TS
63
438
0
04 Sep 2020
On Defending Against Label Flipping Attacks on Malware Detection Systems
On Defending Against Label Flipping Attacks on Malware Detection Systems
R. Taheri
R. Javidan
Mohammad Shojafar
Zahra Pooranian
A. Miri
Mauro Conti
AAML
53
89
0
13 Aug 2019
MAD-GAN: Multivariate Anomaly Detection for Time Series Data with
  Generative Adversarial Networks
MAD-GAN: Multivariate Anomaly Detection for Time Series Data with Generative Adversarial Networks
Dan Li
Dacheng Chen
Lei Shi
Baihong Jin
Jonathan Goh
See-Kiong Ng
77
779
0
15 Jan 2019
Deep Graph Infomax
Deep Graph Infomax
Petar Velickovic
W. Fedus
William L. Hamilton
Pietro Lio
Yoshua Bengio
R. Devon Hjelm
GNN
130
2,399
0
27 Sep 2018
Review of Deep Learning
Review of Deep Learning
Rong Zhang
Weiping Li
Tong Mo
VLM
35
151
0
05 Apr 2018
A Multimodal Anomaly Detector for Robot-Assisted Feeding Using an
  LSTM-based Variational Autoencoder
A Multimodal Anomaly Detector for Robot-Assisted Feeding Using an LSTM-based Variational Autoencoder
Daehyung Park
Yuuna Hoshi
Charles C. Kemp
DRL
77
751
0
02 Nov 2017
Graph Attention Networks
Graph Attention Networks
Petar Velickovic
Guillem Cucurull
Arantxa Casanova
Adriana Romero
Pietro Lio
Yoshua Bengio
GNN
484
20,265
0
30 Oct 2017
Inductive Representation Learning on Large Graphs
Inductive Representation Learning on Large Graphs
William L. Hamilton
Z. Ying
J. Leskovec
516
15,369
0
07 Jun 2017
Semi-Supervised Classification with Graph Convolutional Networks
Semi-Supervised Classification with Graph Convolutional Networks
Thomas Kipf
Max Welling
GNNSSL
679
29,183
0
09 Sep 2016
Empirical Evaluation of Gated Recurrent Neural Networks on Sequence
  Modeling
Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling
Junyoung Chung
Çağlar Gülçehre
Kyunghyun Cho
Yoshua Bengio
607
12,745
0
11 Dec 2014
1