Paper Search Results
Home Page
More Results
Recommendations from ProNE (based on Citation Graph)
AuthorId: 2090567
Limit: 10
Sort by: score
Embedding: s2_recommendations
IP address: 18.119.133.206
Freq flyer: False
authorId(s): 2090567
Author(s): Jingchao Ni
score
citationCount
Paper
Authors
year
More like this
Compare & Contrast
ProNE-s
SciNCL
Specter
GNN
613
A Deep Neural Network for Unsupervised Anomaly Detection and Diagnosis in Multivariate Time Series Data
Chuxu Zhang
,
Dongjin Song
, ...,
N. Chawla
2018
Similar to this
Compare & Contrast
246
Robust Graph Representation Learning via Neural Sparsification
Cheng Zheng
,
Bo Zong
, ...,
Wei Wang
2020
Similar to this
Compare & Contrast
217
Learning to Drop: Robust Graph Neural Network via Topological Denoising
Dongsheng Luo
,
Wei Cheng
, ...,
Xiang Zhang
2020
Similar to this
Compare & Contrast
98
Structural Temporal Graph Neural Networks for Anomaly Detection in Dynamic Graphs
Lei Cai
,
Zhengzhang Chen
, ...,
Haifeng Chen
2020
Similar to this
Compare & Contrast
63
Heterogeneous Graph Matching Networks for Unknown Malware Detection
Shen Wang
,
Zhengzhang Chen
, ...,
Philip S. Yu
2019
Similar to this
Compare & Contrast
61
Inside the atoms: ranking on a network of networks
Jingchao Ni
,
Hanghang Tong
, ...,
Xiang Zhang
2014
Similar to this
Compare & Contrast
59
Co-Regularized Deep Multi-Network Embedding
Jingchao Ni
,
Shiyu Chang
, ...,
Xiang Zhang
2018
Similar to this
Compare & Contrast
53
Convolutional Transformer based Dual Discriminator Generative Adversarial Networks for Video Anomaly Detection
Xinyang Feng
,
Dongjin Song
, ...,
Haifeng Chen
2021
Similar to this
Compare & Contrast
51
Flexible and Robust Multi-Network Clustering
Jingchao Ni
,
Hanghang Tong
, ...,
Xiang Zhang
2015
Similar to this
Compare & Contrast
48
Multi-Scale One-Class Recurrent Neural Networks for Discrete Event Sequence Anomaly Detection
Z. Wang
,
Zhengzhang Chen
, ...,
Jiliang Tang
2020
Similar to this
Compare & Contrast
Help
Bulk Download
GitHub
Final Report (YouTube)
JSALT-2023
Contact us (by email)
BETA Version