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WGCN: Graph Convolutional Networks with Weighted Structural Features

WGCN: Graph Convolutional Networks with Weighted Structural Features

29 April 2021
Yunxiang Zhao
Jianzhong Qi
Qingwei Liu
Rui Zhang
    GNN
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Papers citing "WGCN: Graph Convolutional Networks with Weighted Structural Features"

7 / 7 papers shown
Title
Detecting Arbitrary Order Beneficial Feature Interactions for
  Recommender Systems
Detecting Arbitrary Order Beneficial Feature Interactions for Recommender Systems
Yixin Su
Yunxiang Zhao
S. Erfani
Junhao Gan
Rui Zhang
66
24
0
28 Jun 2022
Graph Decipher: A transparent dual-attention graph neural network to
  understand the message-passing mechanism for the node classification
Graph Decipher: A transparent dual-attention graph neural network to understand the message-passing mechanism for the node classification
Yan Pang
Chao Liu
GNN
24
8
0
04 Jan 2022
Spectral Transform Forms Scalable Transformer
Spectral Transform Forms Scalable Transformer
Bingxin Zhou
Xinliang Liu
Yuehua Liu
Yunyin Huang
Pietro Lió
Yuguang Wang
52
6
0
15 Nov 2021
Neural Graph Matching based Collaborative Filtering
Neural Graph Matching based Collaborative Filtering
Yixin Su
Rui Zhang
S. Erfani
Junhao Gan
29
46
0
10 May 2021
Hierarchical Adaptive Pooling by Capturing High-order Dependency for
  Graph Representation Learning
Hierarchical Adaptive Pooling by Capturing High-order Dependency for Graph Representation Learning
Ning Liu
Songlei Jian
Dongsheng Li
Yiming Zhang
Zhiquan Lai
Hongzuo Xu
26
30
0
13 Apr 2021
Geom-GCN: Geometric Graph Convolutional Networks
Geom-GCN: Geometric Graph Convolutional Networks
Hongbin Pei
Bingzhen Wei
Kevin Chen-Chuan Chang
Yu Lei
Bo Yang
GNN
169
1,078
0
13 Feb 2020
Multi-scale Attributed Node Embedding
Multi-scale Attributed Node Embedding
Benedek Rozemberczki
Carl Allen
Rik Sarkar
GNN
148
837
0
28 Sep 2019
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