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Design Space for Graph Neural Networks
v1v2 (latest)

Design Space for Graph Neural Networks

Neural Information Processing Systems (NeurIPS), 2020
17 November 2020
Jiaxuan You
Rex Ying
J. Leskovec
    GNNAI4CE
ArXiv (abs)PDFHTML

Papers citing "Design Space for Graph Neural Networks"

50 / 171 papers shown
AutoSAGE: Input-Aware CUDA Scheduling for Sparse GNN Aggregation (SpMM/SDDMM) and CSR Attention
AutoSAGE: Input-Aware CUDA Scheduling for Sparse GNN Aggregation (SpMM/SDDMM) and CSR Attention
Aleksandar Stankovic
176
0
0
17 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
163
0
0
09 Nov 2025
T3former: Temporal Graph Classification with Topological Machine Learning
T3former: Temporal Graph Classification with Topological Machine Learning
Md Joshem Uddin
Soham Changani
Baris Coskunuzer
170
0
0
15 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
249
2
0
09 Oct 2025
NestGNN: A Graph Neural Network Framework Generalizing the Nested Logit Model for Travel Mode Choice
NestGNN: A Graph Neural Network Framework Generalizing the Nested Logit Model for Travel Mode Choice
Yuqi Zhou
Zhanhong Cheng
Lingqian Hu
Yuheng Bu
Shenhao Wang
180
0
0
08 Sep 2025
FireGNN: Neuro-Symbolic Graph Neural Networks with Trainable Fuzzy Rules for Interpretable Medical Image Classification
FireGNN: Neuro-Symbolic Graph Neural Networks with Trainable Fuzzy Rules for Interpretable Medical Image Classification
Prajit Sengupta
Islem Rekik
AI4CE
178
0
0
02 Sep 2025
Defining and Benchmarking a Data-Centric Design Space for Brain Graph Construction
Defining and Benchmarking a Data-Centric Design Space for Brain Graph Construction
Qinwen Ge
Roza G. Bayrak
Anwar Said
Catie Chang
X. Koutsoukos
Tyler Derr
144
0
0
17 Aug 2025
Graph neural networks for residential location choice: connection to classical logit models
Graph neural networks for residential location choice: connection to classical logit models
Zhanhong Cheng
Lingqian Hu
Yuheng Bu
Yuqi Zhou
Shenhao Wang
GNN
247
1
0
28 Jul 2025
PyG 2.0: Scalable Learning on Real World Graphs
PyG 2.0: Scalable Learning on Real World Graphs
Matthias Fey
Jinu Sunil
Akihiro Nitta
Rishi Puri
Manan Shah
...
Vid Kocijan
Zecheng Zhang
Xinwei He
J. E. Lenssen
J. Leskovec
GNNAI4CE
409
42
0
22 Jul 2025
Beyond Model Base Retrieval: Weaving Knowledge to Master Fine-grained Neural Network Design
Beyond Model Base Retrieval: Weaving Knowledge to Master Fine-grained Neural Network Design
Jialiang Wang
Hanmo Liu
Shimin Di
Zhili Wang
Jiachuan Wang
Lei Chen
Xiaofang Zhou
296
0
0
21 Jul 2025
Smotrom tvoja pa ander drogoj verden! Resurrecting Dead Pidgin with Generative Models: Russenorsk Case Study
Smotrom tvoja pa ander drogoj verden! Resurrecting Dead Pidgin with Generative Models: Russenorsk Case StudyAnnual Meeting of the Association for Computational Linguistics (ACL), 2025
Alexey Tikhonov
Sergei Shteiner
A. Bykova
Ivan P. Yamshchikov
168
1
0
31 May 2025
From GNNs to Trees: Multi-Granular Interpretability for Graph Neural Networks
From GNNs to Trees: Multi-Granular Interpretability for Graph Neural NetworksInternational 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
Geometric Properties and Graph-Based Optimization of Neural Networks: Addressing Non-Linearity, Dimensionality, and Scalability
Geometric Properties and Graph-Based Optimization of Neural Networks: Addressing Non-Linearity, Dimensionality, and Scalability
Michael Wienczkowski
Addisu Desta
Paschal Ugochukwu
AI4CEGNN
202
0
0
24 Feb 2025
A graph neural network-based model with Out-of-Distribution Robustness for enhancing Antiretroviral Therapy Outcome Prediction for HIV-1
A graph neural network-based model with Out-of-Distribution Robustness for enhancing Antiretroviral Therapy Outcome Prediction for HIV-1
Giulia Di Teodoro
F. Siciliano
V. Guarrasi
A. Vandamme
Valeria Ghisetti
Anders Sönnerborg
Maurizio Zazzi
Fabrizio Silvestri
L. Palagi
541
19
0
24 Feb 2025
Position: Graph Learning Will Lose Relevance Due To Poor Benchmarks
Position: Graph Learning Will Lose Relevance Due To Poor Benchmarks
Maya Bechler-Speicher
Ben Finkelshtein
Fabrizio Frasca
Luis Muller
Jan Tönshoff
...
Michael M. Bronstein
Mathias Niepert
Bryan Perozzi
Mikhail Galkin
Christopher Morris
OOD
652
49
0
21 Feb 2025
Generative Risk Minimization for Out-of-Distribution Generalization on Graphs
Generative Risk Minimization for Out-of-Distribution Generalization on Graphs
Song Wang
Zhen Tan
Yaochen Zhu
Chuxu Zhang
Wenlin Yao
OOD
493
1
0
11 Feb 2025
Introduction to Graph Neural Networks: A Starting Point for Machine
  Learning Engineers
Introduction to Graph Neural Networks: A Starting Point for Machine Learning Engineers
James H. Tanis
Chris Giannella
Adrian V. Mariano
AI4CEGNNFaMLPINN
379
7
0
27 Dec 2024
Graph as a feature: improving node classification with non-neural
  graph-aware logistic regression
Graph as a feature: improving node classification with non-neural graph-aware logistic regression
Simon Delarue
Thomas Bonald
Tiphaine Viard
297
1
0
19 Nov 2024
Enhancing Missing Data Imputation through Combined Bipartite Graph and
  Complete Directed Graph
Enhancing Missing Data Imputation through Combined Bipartite Graph and Complete Directed Graph
Zhaoyang Zhang
Hongtu Zhu
Ziqi Chen
Yingjie Zhang
Hai Shu
309
0
0
07 Nov 2024
Customized Subgraph Selection and Encoding for Drug-drug Interaction
  Prediction
Customized Subgraph Selection and Encoding for Drug-drug Interaction PredictionNeural Information Processing Systems (NeurIPS), 2024
Haotong Du
Quanming Yao
Juzheng Zhang
Yong Liu
Zhen Wang
384
17
0
03 Nov 2024
A Hierarchical Language Model For Interpretable Graph Reasoning
A Hierarchical Language Model For Interpretable Graph Reasoning
Sambhav Khurana
Xiner Li
Shurui Gui
Shuiwang Ji
LRM
394
0
0
29 Oct 2024
Diffusing to the Top: Boost Graph Neural Networks with Minimal
  Hyperparameter Tuning
Diffusing to the Top: Boost Graph Neural Networks with Minimal Hyperparameter TuningInternational Conference on Learning Representations (ICLR), 2024
Lequan Lin
Dai Shi
Andi Han
Zhiyong Wang
Junbin Gao
338
0
0
08 Oct 2024
Unitary convolutions for learning on graphs and groups
Unitary convolutions for learning on graphs and groupsNeural Information Processing Systems (NeurIPS), 2024
B. Kiani
Lukas Fesser
Melanie Weber
GNN
456
7
0
07 Oct 2024
Cayley Graph Propagation
Cayley Graph PropagationLOG IN (LOG IN), 2024
JJ Wilson
Maya Bechler-Speicher
Petar Veličković
539
15
0
04 Oct 2024
Learning to Solve Combinatorial Optimization under Positive Linear
  Constraints via Non-Autoregressive Neural Networks
Learning to Solve Combinatorial Optimization under Positive Linear Constraints via Non-Autoregressive Neural NetworksScientia Sinica Informationis (SSI), 2024
Runzhong Wang
Yang Li
Junchi Yan
Xiaokang Yang
AI4CE
302
1
0
06 Sep 2024
Optimizing Luxury Vehicle Dealership Networks: A Graph Neural Network
  Approach to Site Selection
Optimizing Luxury Vehicle Dealership Networks: A Graph Neural Network Approach to Site SelectionBigData Congress [Services Society] (BSS), 2024
Luca Silvano Carocci
Qiwei Han
214
0
0
25 Aug 2024
Proficient Graph Neural Network Design by Accumulating Knowledge on Large Language Models
Proficient Graph Neural Network Design by Accumulating Knowledge on Large Language Models
Jialiang Wang
Hanmo Liu
Hanmo Liu
Zhili Wang
Jiachuan Wang
Lei Chen
Xiaofang Zhou
364
0
0
13 Aug 2024
Adversarial Robustness of Graph Transformers
Adversarial Robustness of Graph Transformers
Philipp Foth
Lukas Gosch
Simon Geisler
Leo Schwinn
Stephan Günnemann
AAMLOOD
363
2
0
16 Jul 2024
When Heterophily Meets Heterogeneity: Challenges and a New Large-Scale Graph Benchmark
When Heterophily Meets Heterogeneity: Challenges and a New Large-Scale Graph Benchmark
Junhong Lin
Xiaojie Guo
Shuaicheng Zhang
Dawei Zhou
Yada Zhu
336
1
0
15 Jul 2024
Benchmarking GNNs Using Lightning Network Data
Benchmarking GNNs Using Lightning Network Data
Rainer Feichtinger
Florian Grötschla
Lioba Heimbach
Roger Wattenhofer
177
0
0
05 Jul 2024
BADM: Batch ADMM for Deep Learning
BADM: Batch ADMM for Deep Learning
Ouya Wang
Shenglong Zhou
Geoffrey Ye Li
ODL
386
2
0
30 Jun 2024
GC4NC: A Benchmark Framework for Graph Condensation on Node Classification with New Insights
GC4NC: A Benchmark Framework for Graph Condensation on Node Classification with New Insights
Shengbo Gong
Juntong Ni
Noveen Sachdeva
Carl Yang
Wei Jin
DD
559
3
0
24 Jun 2024
Younger: The First Dataset for Artificial Intelligence-Generated Neural
  Network Architecture
Younger: The First Dataset for Artificial Intelligence-Generated Neural Network Architecture
Zhengxin Yang
Wanling Gao
Luzhou Peng
Yunyou Huang
Fei Tang
Jianfeng Zhan
238
3
0
20 Jun 2024
Evaluating representation learning on the protein structure universe
Evaluating representation learning on the protein structure universe
Arian R. Jamasb
Alex Morehead
Chaitanya K. Joshi
Zuobai Zhang
Kieran Didi
...
Charles Harris
Jian Tang
Jianlin Cheng
Pietro Lio
Tom L. Blundell
SSL
303
23
0
19 Jun 2024
TEG-DB: A Comprehensive Dataset and Benchmark of Textual-Edge Graphs
TEG-DB: A Comprehensive Dataset and Benchmark of Textual-Edge GraphsNeural Information Processing Systems (NeurIPS), 2024
Zhuofeng Li
Zixing Gou
Xiangnan Zhang
Zhongyuan Liu
Sirui Li
Yuntong Hu
Chen Ling
Zheng Zhang
Liang Zhao
298
14
0
14 Jun 2024
Combinatorial Optimization with Automated Graph Neural Networks
Combinatorial Optimization with Automated Graph Neural Networks
Yang Liu
Peng Zhang
Yang Gao
Chuan Zhou
Zhao Li
Hongyang Chen
AI4CEGNN
275
7
0
05 Jun 2024
GCondenser: Benchmarking Graph Condensation
GCondenser: Benchmarking Graph Condensation
Yilun Liu
Ruihong Qiu
Zi Huang
DD
439
9
0
23 May 2024
Unleash Graph Neural Networks from Heavy Tuning
Unleash Graph Neural Networks from Heavy Tuning
Lequan Lin
Dai Shi
Andi Han
Zhiyong Wang
Junbin Gao
AI4CE
306
3
0
21 May 2024
Desk-AId: Humanitarian Aid Desk Assessment with Geospatial AI for
  Predicting Landmine Areas
Desk-AId: Humanitarian Aid Desk Assessment with Geospatial AI for Predicting Landmine Areas
Flavio Cirillo
Gürkan Solmaz
Yi-Hsuan Peng
Christian Bizer
Martin Jebens
228
0
0
15 May 2024
HOEG: A New Approach for Object-Centric Predictive Process Monitoring
HOEG: A New Approach for Object-Centric Predictive Process Monitoring
Tim K. Smit
H. Reijers
Xixi Lu
266
5
0
08 Apr 2024
GLEMOS: Benchmark for Instantaneous Graph Learning Model Selection
GLEMOS: Benchmark for Instantaneous Graph Learning Model SelectionNeural Information Processing Systems (NeurIPS), 2024
Namyong Park
Ryan Rossi
Xing Wang
Antoine Simoulin
Nesreen K. Ahmed
Christos Faloutsos
VLM
318
4
0
02 Apr 2024
Building Optimal Neural Architectures using Interpretable Knowledge
Building Optimal Neural Architectures using Interpretable Knowledge
Keith G. Mills
Fred X. Han
Mohammad Salameh
Shengyao Lu
Chunhua Zhou
Jiao He
Fengyu Sun
Di Niu
265
5
0
20 Mar 2024
Automated Contrastive Learning Strategy Search for Time Series
Automated Contrastive Learning Strategy Search for Time Series
Baoyu Jing
Yansen Wang
Guoxin Sui
Jing Hong
Jingrui He
Yuqing Yang
Dongsheng Li
Kan Ren
AI4TS
294
8
0
19 Mar 2024
Unsupervised Graph Neural Architecture Search with Disentangled
  Self-supervision
Unsupervised Graph Neural Architecture Search with Disentangled Self-supervisionNeural Information Processing Systems (NeurIPS), 2024
Zeyang Zhang
Xin Eric Wang
Ziwei Zhang
Guangyao Shen
Shiqi Shen
Wenwu Zhu
312
19
0
08 Mar 2024
Learning Invariant Representations of Graph Neural Networks via Cluster
  Generalization
Learning Invariant Representations of Graph Neural Networks via Cluster Generalization
Donglin Xia
Xiao Wang
Nian Liu
Chuan Shi
298
24
0
06 Mar 2024
Towards Versatile Graph Learning Approach: from the Perspective of Large
  Language Models
Towards Versatile Graph Learning Approach: from the Perspective of Large Language Models
Lanning Wei
Jun Gao
Huan Zhao
Quanming Yao
335
2
0
18 Feb 2024
GraphViz2Vec: A Structure-aware Feature Generation Model to Improve
  Classification in GNNs
GraphViz2Vec: A Structure-aware Feature Generation Model to Improve Classification in GNNs
S. Chatterjee
Suman Kundu
146
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0
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Cross-Space Adaptive Filter: Integrating Graph Topology and Node
  Attributes for Alleviating the Over-smoothing Problem
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Chen Huang
Haoyang Li
Yifan Zhang
Wenqiang Lei
Jiancheng Lv
397
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TPTNet: A Data-Driven Temperature Prediction Model Based on Turbulent
  Potential Temperature
TPTNet: A Data-Driven Temperature Prediction Model Based on Turbulent Potential Temperature
Jun Park
Changhoon Lee
233
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Content Augmented Graph Neural Networks
Content Augmented Graph Neural NetworksACM Transactions on the Web (TWEB), 2023
Fatemeh Gholamzadeh Nasrabadi
AmirHossein Kashani
Pegah Zahedi
M. H. Chehreghani
230
8
0
21 Nov 2023
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