Papers
Communities
Events
Blog
Pricing
Search
Open menu
Home
Papers
1802.00910
Cited By
GeniePath: Graph Neural Networks with Adaptive Receptive Paths
3 February 2018
Ziqi Liu
Chaochao Chen
Longfei Li
Jun Zhou
Xiaolong Li
Le Song
Yuan Qi
GNN
Re-assign community
ArXiv
PDF
HTML
Papers citing
"GeniePath: Graph Neural Networks with Adaptive Receptive Paths"
28 / 28 papers shown
Title
Conformal Prediction for Federated Graph Neural Networks with Missing Neighbor Information
Ömer Faruk Akgül
R. Kannan
Viktor Prasanna
FedML
25
0
0
17 Oct 2024
VecAug: Unveiling Camouflaged Frauds with Cohort Augmentation for Enhanced Detection
Fei Xiao
Shaofeng Cai
Wei Zhang
H. V. Jagadish
Beng Chin Ooi
Meihui Zhang
20
0
0
01 Aug 2024
Graph Neural Network with Two Uplift Estimators for Label-Scarcity Individual Uplift Modeling
Dingyuan Zhu
Daixin Wang
Zhiqiang Zhang
Kun Kuang
Yan Zhang
Yulin Kang
Jun Zhou
37
3
0
11 Mar 2024
From Local to Global: Spectral-Inspired Graph Neural Networks
Ningyuan Huang
Soledad Villar
Carey E. Priebe
Da Zheng
Cheng-Fu Huang
Lin F. Yang
Vladimir Braverman
23
14
0
24 Sep 2022
Gaia: Graph Neural Network with Temporal Shift aware Attention for Gross Merchandise Value Forecast in E-commerce
Borui Ye
Shuo Yang
Binbin Hu
Zhiqiang Zhang
Youqiang He
Kai Huang
Jun Zhou
Yanming Fang
18
4
0
27 Jul 2022
Improving Fraud Detection via Hierarchical Attention-based Graph Neural Network
Yajing Liu
Zhengya Sun
Wensheng Zhang
6
25
0
12 Feb 2022
Graph-Coupled Oscillator Networks
T. Konstantin Rusch
B. Chamberlain
J. Rowbottom
S. Mishra
M. Bronstein
31
102
0
04 Feb 2022
A Review on Graph Neural Network Methods in Financial Applications
Jianian Wang
Shenmin Zhang
Yanghua Xiao
Rui Song
AI4TS
26
104
0
27 Nov 2021
Scalable deeper graph neural networks for high-performance materials property prediction
Sadman Sadeed Omee
Steph-Yves M. Louis
Nihang Fu
Lai Wei
Sourin Dey
Rongzhi Dong
Qinyang Li
Jianjun Hu
68
73
0
25 Sep 2021
Federated Graph Learning -- A Position Paper
Hu Zhang
T. Shen
Fei Wu
Mingyang Yin
Hongxia Yang
Chao Wu
FedML
6
49
0
24 May 2021
Improving Conversational Recommendation System by Pretraining on Billions Scale of Knowledge Graph
Chi-Man Wong
Fan Feng
Wen Zhang
Chi-Man Vong
Hui Chen
Yichi Zhang
Peng He
Hua-Ni Chen
Kun Zhao
Huajun Chen
HAI
21
26
0
30 Apr 2021
GraphTheta: A Distributed Graph Neural Network Learning System With Flexible Training Strategy
Yongchao Liu
Houyi Li
Guowei Zhang
Xintan Zeng
Yongyong Li
...
Peng Zhang
Zhao Li
Kefeng Deng
Changhua He
Wenguang Chen
GNN
44
11
0
21 Apr 2021
Graph Attention Recurrent Neural Networks for Correlated Time Series Forecasting -- Full version
Razvan-Gabriel Cirstea
Chenjuan Guo
B. Yang
AI4TS
14
42
0
19 Mar 2021
Graph Neural Networks: Taxonomy, Advances and Trends
Yu Zhou
Haixia Zheng
Xin Huang
Shufeng Hao
Dengao Li
Jumin Zhao
AI4TS
25
115
0
16 Dec 2020
xFraud: Explainable Fraud Transaction Detection
Susie Xi Rao
Shuai Zhang
Zhichao Han
Zitao Zhang
Wei Min
Zhiyao Chen
Yinan Shan
Yang Zhao
Ce Zhang
23
49
0
24 Nov 2020
AutoGraph: Automated Graph Neural Network
Yaoman Li
Irwin King
GNN
27
43
0
23 Nov 2020
ASFGNN: Automated Separated-Federated Graph Neural Network
Longfei Zheng
Jun Zhou
Chaochao Chen
Bingzhe Wu
L. xilinx Wang
Benyu Zhang
FedML
GNN
20
70
0
06 Nov 2020
Graph Neural Networks in Recommender Systems: A Survey
Shiwen Wu
Fei Sun
Wentao Zhang
Xu Xie
Bin Cui
GNN
56
1,174
0
04 Nov 2020
Graph InfoClust: Leveraging cluster-level node information for unsupervised graph representation learning
Costas Mavromatis
George Karypis
14
54
0
15 Sep 2020
Bandit Samplers for Training Graph Neural Networks
Ziqi Liu
Zhengwei Wu
Zhiqiang Zhang
Jun Zhou
Shuang Yang
Le Song
Yuan Qi
23
47
0
10 Jun 2020
GraLSP: Graph Neural Networks with Local Structural Patterns
Yilun Jin
Guojie Song
C. Shi
19
47
0
18 Nov 2019
Graph Transformer Networks
Seongjun Yun
Minbyul Jeong
Raehyun Kim
Jaewoo Kang
Hyunwoo J. Kim
48
943
0
06 Nov 2019
DeepGCNs: Making GCNs Go as Deep as CNNs
G. Li
Matthias Muller
Guocheng Qian
Itzel C. Delgadillo
Abdulellah Abualshour
Ali K. Thabet
Bernard Ghanem
3DPC
GNN
31
168
0
15 Oct 2019
Graph Few-shot Learning via Knowledge Transfer
Huaxiu Yao
Chuxu Zhang
Ying Wei
Meng-Long Jiang
Suhang Wang
Junzhou Huang
Nitesh V. Chawla
Z. Li
45
162
0
07 Oct 2019
Semi-supervised classification on graphs using explicit diffusion dynamics
Robert L. Peach
Alexis Arnaudon
Mauricio Barahona
GNN
DiffM
16
15
0
24 Sep 2019
Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks
Wei-Lin Chiang
Xuanqing Liu
Si Si
Yang Li
Samy Bengio
Cho-Jui Hsieh
GNN
16
1,252
0
20 May 2019
InceptionGCN: Receptive Field Aware Graph Convolutional Network for Disease Prediction
Anees Kazi
Shayan Shekarforoush
S. Krishna
Hendrik Burwinkel
G. Vivar
K. Kortüm
Seyed-Ahmad Ahmadi
Shadi Albarqouni
Nassir Navab
GNN
MedIm
16
146
0
11 Mar 2019
A Comprehensive Survey on Graph Neural Networks
Zonghan Wu
Shirui Pan
Fengwen Chen
Guodong Long
Chengqi Zhang
Philip S. Yu
FaML
GNN
AI4TS
AI4CE
153
8,350
0
03 Jan 2019
1