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SPAGAN: Shortest Path Graph Attention Network

SPAGAN: Shortest Path Graph Attention Network

10 January 2021
Yiding Yang
Xinchao Wang
Mingli Song
Junsong Yuan
Dacheng Tao
    GNN
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Papers citing "SPAGAN: Shortest Path Graph Attention Network"

36 / 36 papers shown
Title
Focus Where It Matters: Graph Selective State Focused Attention Networks
Focus Where It Matters: Graph Selective State Focused Attention Networks
Shikhar Vashistha
Neetesh Kumar
30
0
0
21 Oct 2024
TopoGCL: Topological Graph Contrastive Learning
TopoGCL: Topological Graph Contrastive Learning
Yuzhou Chen
José Frías
Yulia R. Gel
34
8
0
25 Jun 2024
EMP: Effective Multidimensional Persistence for Graph Representation
  Learning
EMP: Effective Multidimensional Persistence for Graph Representation Learning
I. Segovia-Dominguez
Yuzhou Chen
Cüneyt Gürcan Akçora
Zhiwei Zhen
Murat Kantarcioglu
Yulia R. Gel
Baris Coskunuzer
51
4
0
24 Jan 2024
On the Two Sides of Redundancy in Graph Neural Networks
On the Two Sides of Redundancy in Graph Neural Networks
Vidya Sagar Sharma
Samir Moustafa
Johannes Langguth
Wilfried N. Gansterer
Nils M. Kriege
29
1
0
06 Oct 2023
PathMLP: Smooth Path Towards High-order Homophily
PathMLP: Smooth Path Towards High-order Homophily
Chenxuan Xie
Jiajun Zhou
Sheng Gong
Jiacheng Wan
Jiaxu Qian
Shanqing Yu
Qi Xuan
Xiaoniu Yang
21
5
0
23 Jun 2023
SPGNN-API: A Transferable Graph Neural Network for Attack Paths
  Identification and Autonomous Mitigation
SPGNN-API: A Transferable Graph Neural Network for Attack Paths Identification and Autonomous Mitigation
Houssem Jmal
Firas Hmida
Nardine Basta
Muhammad Ikram
M. Kâafar
Andy Walker
AAML
26
1
0
31 May 2023
Deep Graph Reprogramming
Deep Graph Reprogramming
Yongcheng Jing
Chongbin Yuan
Li Ju
Yiding Yang
Xinchao Wang
Dacheng Tao
79
35
0
28 Apr 2023
Segment Anything in Non-Euclidean Domains: Challenges and Opportunities
Segment Anything in Non-Euclidean Domains: Challenges and Opportunities
Yongcheng Jing
Xinchao Wang
Dacheng Tao
45
21
0
23 Apr 2023
Schema Inference for Interpretable Image Classification
Schema Inference for Interpretable Image Classification
Haofei Zhang
Mengqi Xue
Xiaokang Liu
Kaixuan Chen
Jie Song
Mingli Song
OCL
44
3
0
12 Mar 2023
Semantic Graph Neural Network with Multi-measure Learning for
  Semi-supervised Classification
Semantic Graph Neural Network with Multi-measure Learning for Semi-supervised Classification
Jun-Liang Lin
Yuan Wan
Jingwen Xu
X. Qi
28
0
0
04 Dec 2022
Learning Graph Neural Networks for Image Style Transfer
Learning Graph Neural Networks for Image Style Transfer
Yongcheng Jing
Yining Mao
Yiding Yang
Yibing Zhan
Mingli Song
Xinchao Wang
Dacheng Tao
41
55
0
24 Jul 2022
Open World Learning Graph Convolution for Latency Estimation in Routing
  Networks
Open World Learning Graph Convolution for Latency Estimation in Routing Networks
Yifei Jin
Marios Daoutis
Sarunas Girdzijauskas
A. Gionis
13
1
0
08 Jul 2022
tBDFS: Temporal Graph Neural Network Leveraging DFS
tBDFS: Temporal Graph Neural Network Leveraging DFS
Uriel Singer
Haggai Roitman
Ido Guy
Kira Radinsky
AI4CE
21
0
0
12 Jun 2022
Shortest Path Networks for Graph Property Prediction
Shortest Path Networks for Graph Property Prediction
Ralph Abboud
Radoslav Dimitrov
.Ismail .Ilkan Ceylan
GNN
27
45
0
02 Jun 2022
PathSAGE: Spatial Graph Attention Neural Networks With Random Path
  Sampling
PathSAGE: Spatial Graph Attention Neural Networks With Random Path Sampling
Junhua Ma
Jiajun Li
Xueming Li
Xu Li
3DPC
GNN
8
1
0
11 Mar 2022
Path-Aware Graph Attention for HD Maps in Motion Prediction
Path-Aware Graph Attention for HD Maps in Motion Prediction
Fang Da
Yu Zhang
GNN
24
27
0
23 Feb 2022
Hamilton-Jacobi equations on graphs with applications to semi-supervised
  learning and data depth
Hamilton-Jacobi equations on graphs with applications to semi-supervised learning and data depth
Jeff Calder
Mahmood Ettehad
19
15
0
17 Feb 2022
Rewiring with Positional Encodings for Graph Neural Networks
Rewiring with Positional Encodings for Graph Neural Networks
Rickard Brüel-Gabrielsson
Mikhail Yurochkin
Justin Solomon
AI4CE
25
32
0
29 Jan 2022
Topological Relational Learning on Graphs
Topological Relational Learning on Graphs
Yuzhou Chen
Baris Coskunuzer
Yulia R. Gel
30
38
0
29 Oct 2021
Parameter Prediction for Unseen Deep Architectures
Parameter Prediction for Unseen Deep Architectures
Boris Knyazev
M. Drozdzal
Graham W. Taylor
Adriana Romero Soriano
OOD
29
78
0
25 Oct 2021
Meta-Aggregator: Learning to Aggregate for 1-bit Graph Neural Networks
Meta-Aggregator: Learning to Aggregate for 1-bit Graph Neural Networks
Yongcheng Jing
Yiding Yang
Xinchao Wang
Mingli Song
Dacheng Tao
16
38
0
27 Sep 2021
Do Transformers Really Perform Bad for Graph Representation?
Do Transformers Really Perform Bad for Graph Representation?
Chengxuan Ying
Tianle Cai
Shengjie Luo
Shuxin Zheng
Guolin Ke
Di He
Yanming Shen
Tie-Yan Liu
GNN
28
433
0
09 Jun 2021
Learning Dynamics via Graph Neural Networks for Human Pose Estimation
  and Tracking
Learning Dynamics via Graph Neural Networks for Human Pose Estimation and Tracking
Yiding Yang
Zhou Ren
Haoxiang Li
Chunluan Zhou
Xinchao Wang
G. Hua
3DH
19
66
0
07 Jun 2021
Relational Graph Neural Network Design via Progressive Neural
  Architecture Search
Relational Graph Neural Network Design via Progressive Neural Architecture Search
Ailing Zeng
Minhao Liu
Zhiwei Liu
Ruiyuan Gao
Jing Qin
Qiang Xu
19
0
0
30 May 2021
Overcoming Catastrophic Forgetting in Graph Neural Networks
Overcoming Catastrophic Forgetting in Graph Neural Networks
Huihui Liu
Yiding Yang
Xinchao Wang
161
112
0
10 Dec 2020
GNNLens: A Visual Analytics Approach for Prediction Error Diagnosis of
  Graph Neural Networks
GNNLens: A Visual Analytics Approach for Prediction Error Diagnosis of Graph Neural Networks
Zhihua Jin
Yong Wang
Qianwen Wang
Yao Ming
Tengfei Ma
Huamin Qu
HAI
10
31
0
22 Nov 2020
Molecular Mechanics-Driven Graph Neural Network with Multiplex Graph for
  Molecular Structures
Molecular Mechanics-Driven Graph Neural Network with Multiplex Graph for Molecular Structures
Shuo-feng Zhang
Yang Liu
Lei Xie
GNN
24
60
0
15 Nov 2020
Factorizable Graph Convolutional Networks
Factorizable Graph Convolutional Networks
Yiding Yang
Zunlei Feng
Mingli Song
Xinchao Wang
GNN
14
145
0
12 Oct 2020
Computing Graph Neural Networks: A Survey from Algorithms to
  Accelerators
Computing Graph Neural Networks: A Survey from Algorithms to Accelerators
S. Abadal
Akshay Jain
Robert Guirado
Jorge López-Alonso
Eduard Alarcón
GNN
27
225
0
30 Sep 2020
LFGCN: Levitating over Graphs with Levy Flights
LFGCN: Levitating over Graphs with Levy Flights
Yuzhou Chen
Yulia R. Gel
Konstantin Avrachenkov
16
7
0
04 Sep 2020
Graph Learning for Combinatorial Optimization: A Survey of
  State-of-the-Art
Graph Learning for Combinatorial Optimization: A Survey of State-of-the-Art
Yun Peng
Byron Choi
Jianliang Xu
22
5
0
26 Aug 2020
Robust Hierarchical Graph Classification with Subgraph Attention
Robust Hierarchical Graph Classification with Subgraph Attention
S. Bandyopadhyay
Manasvi Aggarwal
M. Murty
GNN
6
3
0
19 Jul 2020
Distilling Knowledge from Graph Convolutional Networks
Distilling Knowledge from Graph Convolutional Networks
Yiding Yang
Jiayan Qiu
Mingli Song
Dacheng Tao
Xinchao Wang
160
226
0
23 Mar 2020
Spectral Graph Attention Network with Fast Eigen-approximation
Spectral Graph Attention Network with Fast Eigen-approximation
Heng Chang
Yu Rong
Tingyang Xu
Wenbing Huang
Somayeh Sojoudi
Junzhou Huang
Wenwu Zhu
GNN
52
32
0
16 Mar 2020
Fast Haar Transforms for Graph Neural Networks
Fast Haar Transforms for Graph Neural Networks
Ming Li
Zheng Ma
Yu Guang Wang
Xiaosheng Zhuang
25
74
0
10 Jul 2019
Geometric deep learning on graphs and manifolds using mixture model CNNs
Geometric deep learning on graphs and manifolds using mixture model CNNs
Federico Monti
Davide Boscaini
Jonathan Masci
Emanuele Rodolà
Jan Svoboda
M. Bronstein
GNN
251
1,811
0
25 Nov 2016
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