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Multi-GCN: Graph Convolutional Networks for Multi-View Networks, with
  Applications to Global Poverty

Multi-GCN: Graph Convolutional Networks for Multi-View Networks, with Applications to Global Poverty

31 January 2019
Muhammad Raza Khan
J. Blumenstock
ArXivPDFHTML

Papers citing "Multi-GCN: Graph Convolutional Networks for Multi-View Networks, with Applications to Global Poverty"

9 / 9 papers shown
Title
Self-Supervised State Space Model for Real-Time Traffic Accident
  Prediction Using eKAN Networks
Self-Supervised State Space Model for Real-Time Traffic Accident Prediction Using eKAN Networks
Xin Tan
Meng Zhao
37
0
0
09 Sep 2024
Meta-GCN: A Dynamically Weighted Loss Minimization Method for Dealing
  with the Data Imbalance in Graph Neural Networks
Meta-GCN: A Dynamically Weighted Loss Minimization Method for Dealing with the Data Imbalance in Graph Neural Networks
Mahdi Mohammadizadeh
Arash Mozhdehi
Yani Andrew Ioannou
Xin Eric Wang
41
1
0
24 Jun 2024
AMOSL: Adaptive Modality-wise Structure Learning in Multi-view Graph
  Neural Networks For Enhanced Unified Representation
AMOSL: Adaptive Modality-wise Structure Learning in Multi-view Graph Neural Networks For Enhanced Unified Representation
Peiyu Liang
Hongchang Gao
Xubin He
40
0
0
04 Jun 2024
Type Information Utilized Event Detection via Multi-Channel GNNs in
  Electrical Power Systems
Type Information Utilized Event Detection via Multi-Channel GNNs in Electrical Power Systems
Qian Li
Jianxin Li
Lihong Wang
Cheng Ji
Yiming Hei
Shuaiyi Nie
Qingyun Sun
Shan Xue
P. Xie
21
8
0
15 Nov 2022
Deep Clustering: A Comprehensive Survey
Deep Clustering: A Comprehensive Survey
Yazhou Ren
Jingyu Pu
Zhimeng Yang
Jie Xu
Guofeng Li
X. Pu
Philip S. Yu
Lifang He
HAI
50
101
0
09 Oct 2022
Federated Graph-based Networks with Shared Embedding
Federated Graph-based Networks with Shared Embedding
Tianyi Yu
Pei-Ci Lai
Fei Teng
FedML
34
3
0
03 Oct 2022
ME-GCN: Multi-dimensional Edge-Embedded Graph Convolutional Networks for
  Semi-supervised Text Classification
ME-GCN: Multi-dimensional Edge-Embedded Graph Convolutional Networks for Semi-supervised Text Classification
Kunze Wang
S. Han
Siqu Long
Josiah Poon
24
20
0
10 Apr 2022
X-GOAL: Multiplex Heterogeneous Graph Prototypical Contrastive Learning
X-GOAL: Multiplex Heterogeneous Graph Prototypical Contrastive Learning
Baoyu Jing
Shengyu Feng
Yuejia Xiang
Xi Chen
Yu Chen
Hanghang Tong
41
28
0
08 Sep 2021
A Comprehensive Survey on Graph Anomaly Detection with Deep Learning
A Comprehensive Survey on Graph Anomaly Detection with Deep Learning
Xiaoxiao Ma
Jia Wu
Shan Xue
Jian Yang
Chuan Zhou
Quan Z. Sheng
Hui Xiong
Leman Akoglu
GNN
AI4TS
48
539
0
14 Jun 2021
1