Papers
Communities
Events
Blog
Pricing
Search
Open menu
Home
Papers
2211.04100
Cited By
v1
v2 (latest)
GENIUS: A Novel Solution for Subteam Replacement with Clustering-based Graph Neural Network
8 November 2022
Chuxuan Hu
Qinghai Zhou
Hanghang Tong
Re-assign community
ArXiv (abs)
PDF
HTML
Papers citing
"GENIUS: A Novel Solution for Subteam Replacement with Clustering-based Graph Neural Network"
20 / 20 papers shown
Title
A Comprehensive Survey on Graph Anomaly Detection with Deep Learning
Xiaoxiao Ma
Hongzhi Zhang
Shan Xue
Jian Yang
Chuan Zhou
Quan Z. Sheng
Hui Xiong
Leman Akoglu
GNN
AI4TS
82
559
0
14 Jun 2021
Few-shot Network Anomaly Detection via Cross-network Meta-learning
Kaize Ding
Qinghai Zhou
Hanghang Tong
Huan Liu
106
127
0
22 Feb 2021
Graph Clustering with Graph Neural Networks
Anton Tsitsulin
John Palowitch
Bryan Perozzi
Emmanuel Müller
GNN
AI4CE
84
266
0
30 Jun 2020
Adaptive Universal Generalized PageRank Graph Neural Network
Eli Chien
Jianhao Peng
Pan Li
O. Milenkovic
269
741
0
14 Jun 2020
A Simple Framework for Contrastive Learning of Visual Representations
Ting-Li Chen
Simon Kornblith
Mohammad Norouzi
Geoffrey E. Hinton
SSL
375
18,859
0
13 Feb 2020
MAGNN: Metapath Aggregated Graph Neural Network for Heterogeneous Graph Embedding
Xinyu Fu
Jiani Zhang
Ziqiao Meng
Irwin King
109
876
0
05 Feb 2020
Measuring and Relieving the Over-smoothing Problem for Graph Neural Networks from the Topological View
Deli Chen
Yankai Lin
Wei Li
Peng Li
Jie Zhou
Xu Sun
92
1,112
0
07 Sep 2019
Self-Attention Graph Pooling
Junhyun Lee
Inyeop Lee
Jaewoo Kang
GNN
175
1,125
0
17 Apr 2019
Pitfalls of Graph Neural Network Evaluation
Oleksandr Shchur
Maximilian Mumme
Aleksandar Bojchevski
Stephan Günnemann
GNN
168
1,364
0
14 Nov 2018
Hierarchical Graph Representation Learning with Differentiable Pooling
Rex Ying
Jiaxuan You
Christopher Morris
Xiang Ren
William L. Hamilton
J. Leskovec
GNN
300
2,154
0
22 Jun 2018
Representation Learning on Graphs with Jumping Knowledge Networks
Keyulu Xu
Chengtao Li
Yonglong Tian
Tomohiro Sonobe
Ken-ichi Kawarabayashi
Stefanie Jegelka
GNN
516
1,987
0
09 Jun 2018
GraKeL: A Graph Kernel Library in Python
Giannis Siglidis
Giannis Nikolentzos
Stratis Limnios
C. Giatsidis
Konstantinos Skianis
Michalis Vazirgiannis
GP
38
158
0
06 Jun 2018
Graph Attention Networks
Petar Velickovic
Guillem Cucurull
Arantxa Casanova
Adriana Romero
Pietro Lio
Yoshua Bengio
GNN
479
20,225
0
30 Oct 2017
Deep Gaussian Embedding of Graphs: Unsupervised Inductive Learning via Ranking
Aleksandar Bojchevski
Stephan Günnemann
BDL
85
647
0
12 Jul 2017
Inductive Representation Learning on Large Graphs
William L. Hamilton
Z. Ying
J. Leskovec
509
15,300
0
07 Jun 2017
Neural Message Passing for Quantum Chemistry
Justin Gilmer
S. Schoenholz
Patrick F. Riley
Oriol Vinyals
George E. Dahl
596
7,485
0
04 Apr 2017
Understanding Black-box Predictions via Influence Functions
Pang Wei Koh
Percy Liang
TDI
213
2,899
0
14 Mar 2017
Semi-Supervised Classification with Graph Convolutional Networks
Thomas Kipf
Max Welling
GNN
SSL
650
29,154
0
09 Sep 2016
Revisiting Semi-Supervised Learning with Graph Embeddings
Zhilin Yang
William W. Cohen
Ruslan Salakhutdinov
GNN
SSL
171
2,103
0
29 Mar 2016
Graph Kernels
S.V.N. Vishwanathan
Karsten Borgwardt
I. Kondor
N. Schraudolph
149
1,206
0
01 Jul 2008
1