ResearchTrend.AI
  • Communities
  • Connect sessions
  • AI calendar
  • Organizations
  • Join Slack
  • Contact Sales
Papers
Communities
Social Events
Terms and Conditions
Pricing
Contact Sales
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2026 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1606.09375
  4. Cited By
Convolutional Neural Networks on Graphs with Fast Localized Spectral
  Filtering
v1v2v3 (latest)

Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering

Neural Information Processing Systems (NeurIPS), 2016
30 June 2016
M. Defferrard
Xavier Bresson
P. Vandergheynst
    GNN
ArXiv (abs)PDFHTML

Papers citing "Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering"

50 / 3,050 papers shown
Edged Weisfeiler-Lehman Algorithm
Edged Weisfeiler-Lehman AlgorithmInternational Conference on Artificial Neural Networks (ICANN), 2025
Xiao Yue
B. Liu
Feng Zhang
Guangzhi Qu
95
1
0
04 Dec 2025
Cross-View Topology-Aware Graph Representation Learning
Cross-View Topology-Aware Graph Representation Learning
Ahmet Sami Korkmaz
Selim Coskunuzer
Md Joshem Uddin
112
0
0
01 Dec 2025
Polynomial Neural Sheaf Diffusion: A Spectral Filtering Approach on Cellular Sheaves
Polynomial Neural Sheaf Diffusion: A Spectral Filtering Approach on Cellular Sheaves
Alessio Borgi
Fabrizio Silvestri
Pietro Lio
170
0
0
28 Nov 2025
Enhanced Graph Convolutional Network with Chebyshev Spectral Graph and Graph Attention for Autism Spectrum Disorder Classification
Enhanced Graph Convolutional Network with Chebyshev Spectral Graph and Graph Attention for Autism Spectrum Disorder ClassificationImage and Vision Computing New Zealand (IVCNZ), 2025
Adnan Ferdous Ashrafi
Hasanul Kabir
99
1
0
27 Nov 2025
Rethinking Message Passing Neural Networks with Diffusion Distance-guided Stress Majorization
Rethinking Message Passing Neural Networks with Diffusion Distance-guided Stress Majorization
Haoran Zheng
Renchi Yang
Yubo Zhou
Jianliang Xu
131
0
0
25 Nov 2025
Auto-ML Graph Neural Network Hypermodels for Outcome Prediction in Event-Sequence Data
Auto-ML Graph Neural Network Hypermodels for Outcome Prediction in Event-Sequence DataAdvanced Industrial Conference on Telecommunications (AICT), 2025
Fang Wang
Lance Kosca
Adrienne Kosca
Marko Gacesa
Ernesto Damiani
AI4CE
322
0
0
24 Nov 2025
HybSpecNet: A Critical Analysis of Architectural Instability in Hybrid-Domain Spectral GNNs
HybSpecNet: A Critical Analysis of Architectural Instability in Hybrid-Domain Spectral GNNs
Huseyin Goksu
192
0
0
20 Nov 2025
Gauge-Equivariant Graph Networks via Self-Interference Cancellation
Gauge-Equivariant Graph Networks via Self-Interference Cancellation
Yoonhyuk Choi
Chong-Kwon Kim
184
1
0
20 Nov 2025
L-JacobiNet and S-JacobiNet: An Analysis of Adaptive Generalization, Stabilization, and Spectral Domain Trade-offs in GNNs
L-JacobiNet and S-JacobiNet: An Analysis of Adaptive Generalization, Stabilization, and Spectral Domain Trade-offs in GNNs
Huseyin Goksu
198
2
0
20 Nov 2025
KrawtchoukNet: A Unified GNN Solution for Heterophily and Over-smoothing with Adaptive Bounded Polynomials
KrawtchoukNet: A Unified GNN Solution for Heterophily and Over-smoothing with Adaptive Bounded Polynomials
Huseyin Goksu
155
3
0
19 Nov 2025
LaguerreNet: Advancing a Unified Solution for Heterophily and Over-smoothing with Adaptive Continuous Polynomials
LaguerreNet: Advancing a Unified Solution for Heterophily and Over-smoothing with Adaptive Continuous Polynomials
Huseyin Goksu
211
4
0
19 Nov 2025
Self-Adaptive Graph Mixture of Models
Self-Adaptive Graph Mixture of Models
Mohit Meena
Yash Punjabi
Abhishek A
Vishal Sharma
Mahesh Chandran
245
0
0
17 Nov 2025
Causal Inference, Biomarker Discovery, Graph Neural Network, Feature Selection
Causal Inference, Biomarker Discovery, Graph Neural Network, Feature Selection
Chaowang Lan
Jingxin Wu
Yulong Yuan
Chuxun Liu
Huangyi Kang
Caihua Liu
CML
178
0
0
17 Nov 2025
Are Graph Transformers Necessary? Efficient Long-Range Message Passing with Fractal Nodes in MPNNs
Are Graph Transformers Necessary? Efficient Long-Range Message Passing with Fractal Nodes in MPNNs
Jeongwhan Choi
Seungjun Park
Sumin Park
Sung-Bae Cho
Noseong Park
196
0
0
17 Nov 2025
Improving the Generalisation of Learned Reconstruction Frameworks
Improving the Generalisation of Learned Reconstruction Frameworks
Emilien Valat
Ozan Oktem
MedImAI4CE
274
0
0
16 Nov 2025
Hierarchical Frequency-Decomposition Graph Neural Networks for Road Network Representation Learning
Hierarchical Frequency-Decomposition Graph Neural Networks for Road Network Representation Learning
JingTian Ma
Jingyuan Wang
Leong Hou U
AI4TSGNN
356
0
0
16 Nov 2025
Beyond Fixed Depth: Adaptive Graph Neural Networks for Node Classification Under Varying Homophily
Beyond Fixed Depth: Adaptive Graph Neural Networks for Node Classification Under Varying Homophily
Asela Hevapathige
Asiri Wijesinghe
Ahad N. Zehmakan
147
2
0
10 Nov 2025
Adaptive Initial Residual Connections for GNNs with Theoretical Guarantees
Adaptive Initial Residual Connections for GNNs with Theoretical Guarantees
Mohammad Shirzadi
Ali Safarpoor Dehkordi
Ahad N. Zehmakan
151
1
0
10 Nov 2025
How Wide and How Deep? Mitigating Over-Squashing of GNNs via Channel Capacity Constrained Estimation
How Wide and How Deep? Mitigating Over-Squashing of GNNs via Channel Capacity Constrained Estimation
Zinuo You
Jin Zheng
John Cartlidge
164
0
0
09 Nov 2025
SPECTRA: Spectral Target-Aware Graph Augmentation for Imbalanced Molecular Property Regression
SPECTRA: Spectral Target-Aware Graph Augmentation for Imbalanced Molecular Property Regression
Brenda Nogueira
Meng Jiang
Nitesh Chawla
Nuno Moniz
146
0
0
06 Nov 2025
GegenbauerNet: Finding the Optimal Compromise in the GNN Flexibility-Stability Trade-off
GegenbauerNet: Finding the Optimal Compromise in the GNN Flexibility-Stability Trade-off
Huseyin Goksu
133
0
0
04 Nov 2025
Optimizing Multi-Lane Intersection Performance in Mixed Autonomy Environments
Optimizing Multi-Lane Intersection Performance in Mixed Autonomy Environments
Manonmani Sekar
Nasim Nezamoddini
204
0
0
04 Nov 2025
Efficient Curvature-aware Graph Network
Efficient Curvature-aware Graph Network
Chaoqun Fei
Tinglve Zhou
Tianyong Hao
Yangyang Li
336
1
0
03 Nov 2025
MeixnerNet: Adaptive and Robust Spectral Graph Neural Networks with Discrete Orthogonal Polynomials
MeixnerNet: Adaptive and Robust Spectral Graph Neural Networks with Discrete Orthogonal Polynomials
Huseyin Goksu
138
5
0
30 Oct 2025
Network-Constrained Policy Optimization for Adaptive Multi-agent Vehicle Routing
Network-Constrained Policy Optimization for Adaptive Multi-agent Vehicle Routing
Fazel Arasteh
Arian Haghparast
Manos Papagelis
137
0
0
30 Oct 2025
KAN-GCN: Combining Kolmogorov-Arnold Network with Graph Convolution Network for an Accurate Ice Sheet Emulator
KAN-GCN: Combining Kolmogorov-Arnold Network with Graph Convolution Network for an Accurate Ice Sheet Emulator
Zesheng Liu
Younghyun Koo
Maryam Rahnemoonfar
119
0
0
28 Oct 2025
Inferring Group Intent as a Cooperative Game. An NLP-based Framework for Trajectory Analysis using Graph Transformer Neural Network
Inferring Group Intent as a Cooperative Game. An NLP-based Framework for Trajectory Analysis using Graph Transformer Neural Network
Yiming Zhang
Vikram Krishnamurthy
Shashwat Jain
106
1
0
27 Oct 2025
A roadmap for curvature-based geometric data analysis and learning
A roadmap for curvature-based geometric data analysis and learning
Yasharth Yadav
Kelin Xia
137
0
0
26 Oct 2025
Error Adjustment Based on Spatiotemporal Correlation Fusion for Traffic Forecasting
Error Adjustment Based on Spatiotemporal Correlation Fusion for Traffic ForecastingInformation Fusion (Inf. Fusion), 2025
Fuqiang Liu
Weiping Ding
L. Miranda-Moreno
Lijun Sun
131
0
0
25 Oct 2025
Adaptive Graph Mixture of Residual Experts: Unsupervised Learning on Diverse Graphs with Heterogeneous Specialization
Adaptive Graph Mixture of Residual Experts: Unsupervised Learning on Diverse Graphs with Heterogeneous Specialization
Yunlong Chu
Minglai Shao
Zengyi Wo
Bing Hao
Yuhang Liu
Ruijie Wang
Jianxin Li
160
0
0
24 Oct 2025
Structural Invariance Matters: Rethinking Graph Rewiring through Graph Metrics
Structural Invariance Matters: Rethinking Graph Rewiring through Graph Metrics
Alexandre Benoit
Catherine Aitken
Yu He
143
0
0
23 Oct 2025
Intransitive Player Dominance and Market Inefficiency in Tennis Forecasting: A Graph Neural Network Approach
Intransitive Player Dominance and Market Inefficiency in Tennis Forecasting: A Graph Neural Network Approach
Lawrence Clegg
John Cartlidge
125
0
0
23 Oct 2025
Training-Free Spectral Fingerprints of Voice Processing in Transformers
Training-Free Spectral Fingerprints of Voice Processing in Transformers
Valentin Noël
216
2
0
21 Oct 2025
Image augmentation with invertible networks in interactive satellite image change detection
Image augmentation with invertible networks in interactive satellite image change detection
Hichem Sahbi
219
0
0
21 Oct 2025
Model Metamers Reveal Invariances in Graph Neural Networks
Model Metamers Reveal Invariances in Graph Neural Networks
Wei Xu
Xiaoyi Jiang
Lixiang Xu
Dechao Tang
145
0
0
20 Oct 2025
AGNES: Adaptive Graph Neural Network and Dynamic Programming Hybrid Framework for Real-Time Nanopore Seed Chaining
AGNES: Adaptive Graph Neural Network and Dynamic Programming Hybrid Framework for Real-Time Nanopore Seed Chaining
Jahidul Arafat
Sanjaya Poudel
299
1
0
15 Oct 2025
Unveiling the Vulnerability of Graph-LLMs: An Interpretable Multi-Dimensional Adversarial Attack on TAGs
Unveiling the Vulnerability of Graph-LLMs: An Interpretable Multi-Dimensional Adversarial Attack on TAGs
Bowen Fan
Zhilin Guo
Xunkai Li
Yihan Zhou
Bing Zhou
Zhenjun Li
Rong-Hua Li
Guoren Wang
AAML
223
0
0
14 Oct 2025
FedHybrid: Breaking the Memory Wall of Federated Learning via Hybrid Tensor Management
FedHybrid: Breaking the Memory Wall of Federated Learning via Hybrid Tensor ManagementACM International Conference on Embedded Networked Sensor Systems (SenSys), 2024
Kahou Tam
Chunlin Tian
Li Li
Haikai Zhao
Chengzhong Xu
FedML
255
7
0
13 Oct 2025
gLSTM: Mitigating Over-Squashing by Increasing Storage Capacity
gLSTM: Mitigating Over-Squashing by Increasing Storage Capacity
Hugh Blayney
Alvaro Arroyo
Xiaowen Dong
M. Bronstein
250
2
0
09 Oct 2025
Label-frugal satellite image change detection with generative virtual exemplar learning
Label-frugal satellite image change detection with generative virtual exemplar learning
Hichem Sahbi
246
0
0
08 Oct 2025
Directional Sheaf Hypergraph Networks: Unifying Learning on Directed and Undirected Hypergraphs
Directional Sheaf Hypergraph Networks: Unifying Learning on Directed and Undirected Hypergraphs
Emanuele Mule
Stefano Fiorini
Antonio Purificato
F. Siciliano
Stefano Coniglio
Fabrizio Silvestri
189
1
0
06 Oct 2025
Fractional Heat Kernel for Semi-Supervised Graph Learning with Small Training Sample Size
Fractional Heat Kernel for Semi-Supervised Graph Learning with Small Training Sample Size
Farid Bozorgnia
Vyacheslav Kungurtsev
Shirali Kadyrov
Mohsen Yousefnezhad
164
0
0
06 Oct 2025
ICEPool: Enhancing Graph Pooling Networks with Inter-cluster Connectivity
ICEPool: Enhancing Graph Pooling Networks with Inter-cluster Connectivity
Michael Yang
175
0
0
05 Oct 2025
GDLNN: Marriage of Programming Language and Neural Networks for Accurate and Easy-to-Explain Graph Classification
GDLNN: Marriage of Programming Language and Neural Networks for Accurate and Easy-to-Explain Graph Classification
Minseok Jeon
Seunghyun Park
170
0
0
01 Oct 2025
Adaptive Canonicalization with Application to Invariant Anisotropic Geometric Networks
Adaptive Canonicalization with Application to Invariant Anisotropic Geometric Networks
Ya-Wei Eileen Lin
Ron Levie
303
0
0
29 Sep 2025
Gradient Flow Convergence Guarantee for General Neural Network Architectures
Gradient Flow Convergence Guarantee for General Neural Network Architectures
Yash Jakhmola
MLT
180
0
0
28 Sep 2025
A Generative Model for Controllable Feature Heterophily in Graphs
A Generative Model for Controllable Feature Heterophily in Graphs
Haoyu Wang
Renyuan Ma
Gonzalo Mateos
Luana Ruiz
120
0
0
27 Sep 2025
Differential Privacy of Network Parameters from a System Identification Perspective
Differential Privacy of Network Parameters from a System Identification Perspective
Andrew Campbell
Anna Scaglione
Hang Liu
Victor Elvira
S. Peisert
D. Arnold
166
0
0
24 Sep 2025
Learning from Heterophilic Graphs: A Spectral Theory Perspective on the Impact of Self-Loops and Parallel Edges
Learning from Heterophilic Graphs: A Spectral Theory Perspective on the Impact of Self-Loops and Parallel Edges
Kushal Bose
Swagatam Das
216
0
0
16 Sep 2025
Graph Homophily Booster: Rethinking the Role of Discrete Features on Heterophilic Graphs
Graph Homophily Booster: Rethinking the Role of Discrete Features on Heterophilic Graphs
Ruizhong Qiu
Ting-Wei Li
Gaotang Li
Hanghang Tong
189
2
0
16 Sep 2025
1234...596061
Next
Page 1 of 61
Pageof 61