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GraLSP: Graph Neural Networks with Local Structural Patterns

GraLSP: Graph Neural Networks with Local Structural Patterns

18 November 2019
Yilun Jin
Guojie Song
C. Shi
ArXivPDFHTML

Papers citing "GraLSP: Graph Neural Networks with Local Structural Patterns"

9 / 9 papers shown
Title
DELTA: Dual Consistency Delving with Topological Uncertainty for Active Graph Domain Adaptation
DELTA: Dual Consistency Delving with Topological Uncertainty for Active Graph Domain Adaptation
Pengyun Wang
Yadi Cao
Chris Russell
Yanxin Shen
Junyu Luo
Ming Zhang
Siyu Heng
Zhiyuan Ning
43
1
0
13 Sep 2024
Supervised Attention Using Homophily in Graph Neural Networks
Supervised Attention Using Homophily in Graph Neural Networks
Michail Chatzianastasis
Giannis Nikolentzos
Michalis Vazirgiannis
GNN
16
0
0
11 Jul 2023
SpeqNets: Sparsity-aware Permutation-equivariant Graph Networks
SpeqNets: Sparsity-aware Permutation-equivariant Graph Networks
Christopher Morris
Gaurav Rattan
Sandra Kiefer
Siamak Ravanbakhsh
50
40
0
25 Mar 2022
Representation Learning on Heterostructures via Heterogeneous Anonymous
  Walks
Representation Learning on Heterostructures via Heterogeneous Anonymous Walks
X. Guo
Pengfei Jiao
Ting Pan
Wang Zhang
Mengyu Jia
Danyang Shi
Wenjun Wang
27
1
0
18 Jan 2022
ACE-HGNN: Adaptive Curvature Exploration Hyperbolic Graph Neural Network
ACE-HGNN: Adaptive Curvature Exploration Hyperbolic Graph Neural Network
Xingcheng Fu
Jianxin Li
Jia Wu
Qingyun Sun
Cheng Ji
Senzhang Wang
Jiajun Tan
Hao Peng
Philip S. Yu
27
32
0
15 Oct 2021
Reconstruction for Powerful Graph Representations
Reconstruction for Powerful Graph Representations
Leonardo Cotta
Christopher Morris
Bruno Ribeiro
AI4CE
130
78
0
01 Oct 2021
Bridging the Gap between Spatial and Spectral Domains: A Unified
  Framework for Graph Neural Networks
Bridging the Gap between Spatial and Spectral Domains: A Unified Framework for Graph Neural Networks
Zhiqian Chen
Fanglan Chen
Lei Zhang
Taoran Ji
Kaiqun Fu
Liang Zhao
Feng Chen
Lingfei Wu
Charu C. Aggarwal
Chang-Tien Lu
44
18
0
21 Jul 2021
Theoretically Improving Graph Neural Networks via Anonymous Walk Graph
  Kernels
Theoretically Improving Graph Neural Networks via Anonymous Walk Graph Kernels
Qingqing Long
Yilun Jin
Yi Wu
Guojie Song
44
37
0
07 Apr 2021
GCC: Graph Contrastive Coding for Graph Neural Network Pre-Training
GCC: Graph Contrastive Coding for Graph Neural Network Pre-Training
J. Qiu
Qibin Chen
Yuxiao Dong
Jing Zhang
Hongxia Yang
Ming Ding
Kuansan Wang
Jie Tang
SSL
64
932
0
17 Jun 2020
1