Communities
Connect sessions
AI calendar
Organizations
Join Slack
Contact Sales
Search
Open menu
Home
Papers
2209.03473
Cited By
Higher-order Clustering and Pooling for Graph Neural Networks
International Conference on Information and Knowledge Management (CIKM), 2022
2 September 2022
Alexandre Duval
Fragkiskos D. Malliaros
Re-assign community
ArXiv (abs)
PDF
HTML
Github
Papers citing
"Higher-order Clustering and Pooling for Graph Neural Networks"
21 / 21 papers shown
Benchmark-Ready 3D Anatomical Shape Classification
Tomáš Krsička
Tibor Kubík
3DH
164
0
0
03 Nov 2025
GraphPPD: Posterior Predictive Modelling for Graph-Level Inference
Soumyasundar Pal
Liheng Ma
Amine Natik
Yingxue Zhang
Mark Coates
UQCV
210
0
0
23 Aug 2025
Efficient Knowledge Tracing Leveraging Higher-Order Information in Integrated Graphs
Donghee Han
Daehee Kim
Minjun Lee
Daeyoung Roh
Keejun Han
Mun Yi
AI4Ed
267
0
0
24 Jul 2025
From GNNs to Trees: Multi-Granular Interpretability for Graph Neural Networks
International Conference on Learning Representations (ICLR), 2025
Jie Yang
Yuwen Wang
Kaixuan Chen
Tongya Zheng
Yihe Zhou
Zhenbang Xiao
Ji Cao
Mingli Song
Shixuan Liu
AI4CE
389
4
0
01 May 2025
Higher-Order GNNs Meet Efficiency: Sparse Sobolev Graph Neural Networks
IEEE Transactions on Signal and Information Processing over Networks (TSIPN), 2024
Jhony H. Giraldo
Aref Einizade
Andjela Todorovic
Jhon A. Castro-Correa
Mohsen Badiey
T. Bouwmans
Fragkiskos D. Malliaros
328
6
0
07 Nov 2024
Graph Pooling via Ricci Flow
Amy Feng
Melanie Weber
AI4CE
384
6
0
05 Jul 2024
A Comprehensive Graph Pooling Benchmark: Effectiveness, Robustness and Generalizability
Pengyun Wang
Junyu Luo
Yanxin Shen
M. Zhang
Shaoen Qin
Siyu Heng
Xiao Luo
Xiao Luo
OOD
636
7
0
13 Jun 2024
Differentiable Cluster Graph Neural Network
Yanfei Dong
Mohammed Haroon Dupty
Lambert Deng
Zhuanghua Liu
Yong Liang Goh
Wee Sun Lee
GNN
236
3
0
25 May 2024
Gegenbauer Graph Neural Networks for Time-varying Signal Reconstruction
Jhon A. Castro-Correa
Jhony H. Giraldo
Mohsen Badiey
Fragkiskos D. Malliaros
435
28
0
28 Mar 2024
Graph Parsing Networks
Yunchong Song
Siyuan Huang
Xinbing Wang
Cheng Zhou
Zhouhan Lin
GNN
253
4
0
22 Feb 2024
DeepRicci: Self-supervised Graph Structure-Feature Co-Refinement for Alleviating Over-squashing
Industrial Conference on Data Mining (IDM), 2023
Li Sun
Zhenhao Huang
Hua Wu
Junda Ye
Hao Peng
Zhengtao Yu
Philip S. Yu
277
24
0
23 Jan 2024
Bridged-GNN: Knowledge Bridge Learning for Effective Knowledge Transfer
International Conference on Information and Knowledge Management (CIKM), 2023
Wendong Bi
Xueqi Cheng
Bingbing Xu
Xiaoqian Sun
Li Xu
Huawei Shen
256
15
0
18 Aug 2023
On Exploring Node-feature and Graph-structure Diversities for Node Drop Graph Pooling
Neural Networks (Neural Netw.), 2023
Chuang Liu
Yibing Zhan
Baosheng Yu
Liu Liu
Bo Du
Wenbin Hu
Tongliang Liu
256
15
0
22 Jun 2023
Transformer-Based Hierarchical Clustering for Brain Network Analysis
IEEE International Symposium on Biomedical Imaging (ISBI), 2023
Wei Dai
Hejie Cui
Xuan Kan
Ying Guo
S. V. Rooij
Carl Yang
294
17
0
06 May 2023
Contrastive Graph Clustering in Curvature Spaces
International Joint Conference on Artificial Intelligence (IJCAI), 2023
Li Sun
Feiyang Wang
Junda Ye
Hao Peng
Philip S. Yu
327
26
0
05 May 2023
Time-varying Signals Recovery via Graph Neural Networks
IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2023
Jhon A. Castro-Correa
Jhony H. Giraldo
Anindya Mondal
Mohsen Badiey
T. Bouwmans
Fragkiskos D. Malliaros
AI4TS
366
14
0
22 Feb 2023
Higher-order Sparse Convolutions in Graph Neural Networks
IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2023
Jhony H. Giraldo
S. Javed
Arif Mahmood
Fragkiskos D. Malliaros
T. Bouwmans
GNN
214
4
0
21 Feb 2023
PhAST: Physics-Aware, Scalable, and Task-specific GNNs for Accelerated Catalyst Design
Journal of machine learning research (JMLR), 2022
Alexandre Duval
Victor Schmidt
Santiago Miret
Yoshua Bengio
Alex Hernández-García
David Rolnick
345
9
0
22 Nov 2022
Total Variation Graph Neural Networks
International Conference on Machine Learning (ICML), 2022
Jonas Hansen
F. Bianchi
338
16
0
11 Nov 2022
Explaining the Explainers in Graph Neural Networks: a Comparative Study
ACM Computing Surveys (ACM CSUR), 2022
Antonio Longa
Steve Azzolin
G. Santin
G. Cencetti
Pietro Lio
Bruno Lepri
Baptiste Caramiaux
401
59
0
27 Oct 2022
Graph Pooling for Graph Neural Networks: Progress, Challenges, and Opportunities
International Joint Conference on Artificial Intelligence (IJCAI), 2022
Chuang Liu
Yibing Zhan
Hongzhi Zhang
Chang Li
Bo Du
Wenbin Hu
Tongliang Liu
Dacheng Tao
GNN
AI4CE
274
121
0
15 Apr 2022
1
Page 1 of 1
