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2101.03464
Cited By
SPAGAN: Shortest Path Graph Attention Network
International Joint Conference on Artificial Intelligence (IJCAI), 2019
10 January 2021
Yiding Yang
Xinchao Wang
Xiuming Zhang
Junsong Yuan
Dacheng Tao
GNN
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Papers citing
"SPAGAN: Shortest Path Graph Attention Network"
37 / 37 papers shown
Large Language Model Evaluated Stand-alone Attention-Assisted Graph Neural Network with Spatial and Structural Information Interaction for Precise Endoscopic Image Segmentation
Juntong Fan
S. Fan
Debesh Jha
Changsheng Fang
Tieyong Zeng
Hengyong Yu
Dayang Wang
MedIm
119
1
0
09 Aug 2025
Focus Where It Matters: Graph Selective State Focused Attention Networks
Shikhar Vashistha
Neetesh Kumar
216
0
0
21 Oct 2024
DiRW: Path-Aware Digraph Learning for Heterophily
Daohan Su
Miao Hu
Zhenjun Li
Yinping Liao
Rong-Hua Li
Guoren Wang
547
2
0
14 Oct 2024
TopoGCL: Topological Graph Contrastive Learning
Yuzhou Chen
José Frías
Yulia R. Gel
350
33
0
25 Jun 2024
EMP: Effective Multidimensional Persistence for Graph Representation Learning
LOG IN (LOG IN), 2024
I. Segovia-Dominguez
Yuzhou Chen
Cüneyt Gürcan Akçora
Zhiwei Zhen
Murat Kantarcioglu
Yulia R. Gel
Baris Coskunuzer
279
6
0
24 Jan 2024
On the Two Sides of Redundancy in Graph Neural Networks
Vidya Sagar Sharma
Samir Moustafa
Johannes Langguth
Wilfried N. Gansterer
Nils M. Kriege
318
2
0
06 Oct 2023
PathMLP: Smooth Path Towards High-order Homophily
Neural Networks (Neural Netw.), 2023
Chenxuan Xie
Jiajun Zhou
Sheng Gong
Jiacheng Wan
Jiaxu Qian
Shanqing Yu
Qi Xuan
Xiaoniu Yang
224
10
0
23 Jun 2023
SPGNN-API: A Transferable Graph Neural Network for Attack Paths Identification and Autonomous Mitigation
IEEE Transactions on Information Forensics and Security (IEEE TIFS), 2023
Houssem Jmal
Firas Hmida
Nardine Basta
Muhammad Ikram
M. Kâafar
Andy Walker
AAML
229
7
0
31 May 2023
Deep Graph Reprogramming
Computer Vision and Pattern Recognition (CVPR), 2023
Yongcheng Jing
Chongbin Yuan
Li Ju
Yiding Yang
Xinchao Wang
Dacheng Tao
315
43
0
28 Apr 2023
Segment Anything in Non-Euclidean Domains: Challenges and Opportunities
Yongcheng Jing
Xinchao Wang
Dacheng Tao
363
22
0
23 Apr 2023
Schema Inference for Interpretable Image Classification
International Conference on Learning Representations (ICLR), 2023
Haofei Zhang
Mengqi Xue
Xiaokang Liu
Kaixuan Chen
Mingli Song
Weilong Dai
OCL
281
5
0
12 Mar 2023
Semantic Graph Neural Network with Multi-measure Learning for Semi-supervised Classification
Engineering applications of artificial intelligence (EAAI), 2022
Jun-Liang Lin
Yuan Wan
Jingwen Xu
X. Qi
334
1
0
04 Dec 2022
Learning Graph Neural Networks for Image Style Transfer
European Conference on Computer Vision (ECCV), 2022
Yongcheng Jing
Yining Mao
Yiding Yang
Yibing Zhan
Xiuming Zhang
Xinchao Wang
Dacheng Tao
350
60
0
24 Jul 2022
Open World Learning Graph Convolution for Latency Estimation in Routing Networks
IEEE International Joint Conference on Neural Network (IJCNN), 2022
Yifei Jin
Marios Daoutis
Sarunas Girdzijauskas
Aristides Gionis
281
1
0
08 Jul 2022
tBDFS: Temporal Graph Neural Network Leveraging DFS
Uriel Singer
Haggai Roitman
Ido Guy
Kira Radinsky
AI4CE
204
0
0
12 Jun 2022
Shortest Path Networks for Graph Property Prediction
LOG IN (LOG IN), 2022
Ralph Abboud
Radoslav Dimitrov
.Ismail .Ilkan Ceylan
GNN
644
70
0
02 Jun 2022
PathSAGE: Spatial Graph Attention Neural Networks With Random Path Sampling
International Conference on Neural Information Processing (ICONIP), 2022
Junhua Ma
Jiajun Li
Xueming Li
Xu Li
3DPC
GNN
179
1
0
11 Mar 2022
Path-Aware Graph Attention for HD Maps in Motion Prediction
IEEE International Conference on Robotics and Automation (ICRA), 2022
Fang Da
Yu Zhang
GNN
252
41
0
23 Feb 2022
Hamilton-Jacobi equations on graphs with applications to semi-supervised learning and data depth
Journal of machine learning research (JMLR), 2022
Jeff Calder
Mahmood Ettehad
334
20
0
17 Feb 2022
Rewiring with Positional Encodings for Graph Neural Networks
Rickard Brüel-Gabrielsson
Mikhail Yurochkin
Justin Solomon
AI4CE
622
44
0
29 Jan 2022
Topological Relational Learning on Graphs
Neural Information Processing Systems (NeurIPS), 2021
Yuzhou Chen
Baris Coskunuzer
Yulia R. Gel
235
51
0
29 Oct 2021
Parameter Prediction for Unseen Deep Architectures
Neural Information Processing Systems (NeurIPS), 2021
Boris Knyazev
M. Drozdzal
Graham W. Taylor
Adriana Romero Soriano
OOD
396
103
0
25 Oct 2021
Meta-Aggregator: Learning to Aggregate for 1-bit Graph Neural Networks
IEEE International Conference on Computer Vision (ICCV), 2021
Yongcheng Jing
Yiding Yang
Xinchao Wang
Xiuming Zhang
Dacheng Tao
241
46
0
27 Sep 2021
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
684
547
0
09 Jun 2021
Learning Dynamics via Graph Neural Networks for Human Pose Estimation and Tracking
Computer Vision and Pattern Recognition (CVPR), 2021
Yiding Yang
Zhou Ren
Haoxiang Li
Chunluan Zhou
Xinchao Wang
G. Hua
3DH
227
85
0
07 Jun 2021
Relational Graph Neural Network Design via Progressive Neural Architecture Search
Ailing Zeng
Minhao Liu
Zhiwei Liu
Ruiyuan Gao
Jing Qin
Qiang Xu
285
0
0
30 May 2021
Overcoming Catastrophic Forgetting in Graph Neural Networks
AAAI Conference on Artificial Intelligence (AAAI), 2020
Huihui Liu
Yiding Yang
Xinchao Wang
556
159
0
10 Dec 2020
GNNLens: A Visual Analytics Approach for Prediction Error Diagnosis of Graph Neural Networks
IEEE Transactions on Visualization and Computer Graphics (TVCG), 2020
Zhihua Jin
Yong Wang
Qianwen Wang
Yao Ming
Tengfei Ma
Huamin Qu
HAI
591
43
0
22 Nov 2020
Molecular Mechanics-Driven Graph Neural Network with Multiplex Graph for Molecular Structures
Shuo-feng Zhang
Yang Liu
Lei Xie
GNN
192
67
0
15 Nov 2020
Factorizable Graph Convolutional Networks
Yiding Yang
Zunlei Feng
Xiuming Zhang
Xinchao Wang
GNN
309
168
0
12 Oct 2020
Computing Graph Neural Networks: A Survey from Algorithms to Accelerators
ACM Computing Surveys (ACM CSUR), 2020
S. Abadal
Akshay Jain
Robert Guirado
Jorge López-Alonso
Eduard Alarcón
GNN
576
280
0
30 Sep 2020
LFGCN: Levitating over Graphs with Levy Flights
Industrial Conference on Data Mining (IDM), 2020
Yuzhou Chen
Yulia R. Gel
Konstantin Avrachenkov
206
8
0
04 Sep 2020
Graph Learning for Combinatorial Optimization: A Survey of State-of-the-Art
Yun Peng
Byron Choi
Jianliang Xu
580
5
0
26 Aug 2020
Robust Hierarchical Graph Classification with Subgraph Attention
S. Bandyopadhyay
Manasvi Aggarwal
M. Murty
GNN
155
5
0
19 Jul 2020
Distilling Knowledge from Graph Convolutional Networks
Computer Vision and Pattern Recognition (CVPR), 2020
Yiding Yang
Jiayan Qiu
Xiuming Zhang
Dacheng Tao
Xinchao Wang
634
270
0
23 Mar 2020
Spectral Graph Attention Network with Fast Eigen-approximation
International Conference on Information and Knowledge Management (CIKM), 2020
Heng Chang
Yu Rong
Qifeng Bai
Wenbing Huang
Somayeh Sojoudi
Junzhou Huang
Wenwu Zhu
GNN
271
44
0
16 Mar 2020
Fast Haar Transforms for Graph Neural Networks
Neural Networks (NN), 2019
Ming Li
Zheng Ma
Yu Guang Wang
Xiaosheng Zhuang
232
79
0
10 Jul 2019
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