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Benchmarking Graph Neural Networks
v1v2v3v4v5 (latest)

Benchmarking Graph Neural Networks

2 March 2020
Vijay Prakash Dwivedi
Chaitanya K. Joshi
Anh Tuan Luu
T. Laurent
Yoshua Bengio
Xavier Bresson
ArXiv (abs)PDFHTML

Papers citing "Benchmarking Graph Neural Networks"

50 / 622 papers shown
Title
The informativeness of the gradient revisited
The informativeness of the gradient revisited
Rustem Takhanov
AAML
41
0
0
28 May 2025
A Physics-Augmented GraphGPS Framework for the Reconstruction of 3D Riemann Problems from Sparse Data
A Physics-Augmented GraphGPS Framework for the Reconstruction of 3D Riemann Problems from Sparse Data
Rami Cassia
Rich Kerswell
AI4CE
40
0
0
27 May 2025
Aggregation Buffer: Revisiting DropEdge with a New Parameter Block
Aggregation Buffer: Revisiting DropEdge with a New Parameter Block
Dooho Lee
Myeong Kong
Sagad Hamid
Cheonwoo Lee
Jaemin Yoo
28
0
0
27 May 2025
Graph Style Transfer for Counterfactual Explainability
Bardh Prenkaj
Efstratios Zaradoukas
Gjergji Kasneci
AAML
69
0
0
23 May 2025
HOPSE: Scalable Higher-Order Positional and Structural Encoder for Combinatorial Representations
HOPSE: Scalable Higher-Order Positional and Structural Encoder for Combinatorial Representations
Martin Carrasco
Guillermo Bernardez
Marco Montagna
Nina Miolane
Lev Telyatnikov
AI4CE
59
0
0
21 May 2025
SourceDetMamba: A Graph-aware State Space Model for Source Detection in Sequential Hypergraphs
SourceDetMamba: A Graph-aware State Space Model for Source Detection in Sequential Hypergraphs
Le Cheng
Peican Zhu
Yangming Guo
Chao Gao
Zhen Wang
Keke Tang
Mamba
109
0
0
19 May 2025
AH-UGC: Adaptive and Heterogeneous-Universal Graph Coarsening
AH-UGC: Adaptive and Heterogeneous-Universal Graph Coarsening
Mohit Kataria
Shreyash Bhilwade
Sandeep Kumar
Jayadeva
64
0
0
18 May 2025
Urban Representation Learning for Fine-grained Economic Mapping: A Semi-supervised Graph-based Approach
Urban Representation Learning for Fine-grained Economic Mapping: A Semi-supervised Graph-based Approach
Jinzhou Cao
Xiangxu Wang
Jiashi Chen
Wei Tu
Zhenhui Li
Xindong Yang
Tianhong Zhao
Qingquan Li
AI4TS
37
0
0
16 May 2025
What Can We Learn From MIMO Graph Convolutions?
What Can We Learn From MIMO Graph Convolutions?
Andreas Roth
Thomas Liebig
112
0
0
16 May 2025
Relational Graph Transformer
Relational Graph Transformer
Vijay Prakash Dwivedi
Sri Jaladi
Yangyi Shen
Federico López
Charilaos I. Kanatsoulis
Rishi Puri
Matthias Fey
Jure Leskovec
59
1
0
16 May 2025
Efficient Mixed Precision Quantization in Graph Neural Networks
Efficient Mixed Precision Quantization in Graph Neural Networks
Samir Moustafa
Nils M. Kriege
Wilfried Gansterer
GNNMQ
67
0
0
14 May 2025
SpecSphere: Dual-Pass Spectral-Spatial Graph Neural Networks with Certified Robustness
SpecSphere: Dual-Pass Spectral-Spatial Graph Neural Networks with Certified Robustness
Yoonhyuk Choi
Chong-Kwon Kim
75
0
0
13 May 2025
DyGEnc: Encoding a Sequence of Textual Scene Graphs to Reason and Answer Questions in Dynamic Scenes
DyGEnc: Encoding a Sequence of Textual Scene Graphs to Reason and Answer Questions in Dynamic Scenes
S. Linok
Vadim Semenov
Anastasia Trunova
Oleg Bulichev
Dmitry A. Yudin
94
0
0
06 May 2025
FedHERO: A Federated Learning Approach for Node Classification Task on Heterophilic Graphs
FedHERO: A Federated Learning Approach for Node Classification Task on Heterophilic Graphs
Zihan Chen
Xingbo Fu
Yushun Dong
Jundong Li
Cong Shen
FedML
278
0
0
29 Apr 2025
Graph Fourier Transformer with Structure-Frequency Information
Graph Fourier Transformer with Structure-Frequency Information
Yonghui Zhai
Yang Zhang
Minghao Shang
Lihua Pang
Yaxin Ren
130
0
0
28 Apr 2025
polyGen: A Learning Framework for Atomic-level Polymer Structure Generation
polyGen: A Learning Framework for Atomic-level Polymer Structure Generation
Ayush Jain
Rampi Ramprasad
132
0
0
24 Apr 2025
Plain Transformers Can be Powerful Graph Learners
Plain Transformers Can be Powerful Graph Learners
Liheng Ma
Soumyasundar Pal
Yingxue Zhang
Philip Torr
Mark Coates
60
0
0
17 Apr 2025
Divergent Paths: Separating Homophilic and Heterophilic Learning for Enhanced Graph-level Representations
Divergent Paths: Separating Homophilic and Heterophilic Learning for Enhanced Graph-level Representations
Han Lei
Jiaxing Xu
Xia Dong
Yiping Ke
GNN
74
0
0
06 Apr 2025
CanonNet: Canonical Ordering and Curvature Learning for Point Cloud Analysis
CanonNet: Canonical Ordering and Curvature Learning for Point Cloud Analysis
Benjy Friedmann
Michael Werman
3DPC
74
0
0
03 Apr 2025
Refining Interactions: Enhancing Anisotropy in Graph Neural Networks with Language Semantics
Refining Interactions: Enhancing Anisotropy in Graph Neural Networks with Language Semantics
Zhaoxing Li
Xiaoming Zhang
Haifeng Zhang
Chengxiang Liu
84
0
0
02 Apr 2025
GraphMaster: Automated Graph Synthesis via LLM Agents in Data-Limited Environments
GraphMaster: Automated Graph Synthesis via LLM Agents in Data-Limited Environments
Enjun Du
Miao Hu
Tian Jin
Zhihan Zhang
Rong-Hua Li
Guoren Wang
102
4
0
01 Apr 2025
Fusion of Graph Neural Networks via Optimal Transport
Fusion of Graph Neural Networks via Optimal Transport
Weronika Ormaniec
Michael Vollenweider
Elisa Hoskovec
MoMeFedMLOT
149
0
0
27 Mar 2025
Improving Equivariant Networks with Probabilistic Symmetry Breaking
Improving Equivariant Networks with Probabilistic Symmetry Breaking
Hannah Lawrence
Vasco Portilheiro
Yan Zhang
Sékou-Oumar Kaba
126
6
0
27 Mar 2025
IceBench: A Benchmark for Deep Learning based Sea Ice Type Classification
IceBench: A Benchmark for Deep Learning based Sea Ice Type Classification
Samira Alkaee Taleghan
A. Barrett
Walter N. Meier
F. Banaei-Kashani
VLM
92
0
0
22 Mar 2025
GNNs as Predictors of Agentic Workflow Performances
Yanzhe Zhang
Yuchen Hou
Bohan Tang
Shuo Chen
Muhan Zhang
Xiaowen Dong
Tian Jin
LLMAGAI4CE
109
2
0
14 Mar 2025
Learning-Order Autoregressive Models with Application to Molecular Graph Generation
Zhe Wang
Jiaxin Shi
N. Heess
Arthur Gretton
Michalis K. Titsias
91
2
0
07 Mar 2025
Unsupervised Attributed Dynamic Network Embedding with Stability Guarantees
Emma Ceccherini
Ian Gallagher
Andrew Jones
Daniel J. Lawson
89
0
0
04 Mar 2025
Denoising Functional Maps: Diffusion Models for Shape Correspondence
Denoising Functional Maps: Diffusion Models for Shape Correspondence
Aleksei Zhuravlev
Zorah Lähner
Vladislav Golyanik
DiffM
144
1
0
03 Mar 2025
G-OSR: A Comprehensive Benchmark for Graph Open-Set Recognition
Yicong Dong
Rundong He
Guangyao Chen
Wentao Zhang
Zhongyi Han
Jieming Shi
Yilong Yin
83
0
0
01 Mar 2025
Performance Heterogeneity in Graph Neural Networks: Lessons for Architecture Design and Preprocessing
Lukas Fesser
Melanie Weber
58
0
0
01 Mar 2025
Homomorphism Expressivity of Spectral Invariant Graph Neural Networks
Jingchu Gai
Yiheng Du
Bohang Zhang
Haggai Maron
Liwei Wang
75
2
0
01 Mar 2025
Graph Self-Supervised Learning with Learnable Structural and Positional Encodings
Graph Self-Supervised Learning with Learnable Structural and Positional Encodings
Asiri Wijesinghe
Hao Zhu
Piotr Koniusz
104
1
0
22 Feb 2025
Connecting the geometry and dynamics of many-body complex systems with message passing neural operators
N. Gabriel
N. Johnson
George Em Karniadakis
AI4CE
100
0
0
21 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
191
6
0
21 Feb 2025
Democratizing Large Language Model-Based Graph Data Augmentation via Latent Knowledge Graphs
Democratizing Large Language Model-Based Graph Data Augmentation via Latent Knowledge Graphs
Yushi Feng
Tsai Hor Chan
Guosheng Yin
Lequan Yu
102
1
0
20 Feb 2025
Tuning Algorithmic and Architectural Hyperparameters in Graph-Based Semi-Supervised Learning with Provable Guarantees
Tuning Algorithmic and Architectural Hyperparameters in Graph-Based Semi-Supervised Learning with Provable Guarantees
Ally Yalei Du
Eric Huang
Dravyansh Sharma
132
1
0
18 Feb 2025
Simple Path Structural Encoding for Graph Transformers
Simple Path Structural Encoding for Graph Transformers
Louis Airale
Antonio Longa
Mattia Rigon
Andrea Passerini
Roberto Passerone
183
0
0
13 Feb 2025
Enhancing the Utility of Higher-Order Information in Relational Learning
Enhancing the Utility of Higher-Order Information in Relational Learning
Raphael Pellegrin
Lukas Fesser
Melanie Weber
150
0
0
13 Feb 2025
Can Classic GNNs Be Strong Baselines for Graph-level Tasks? Simple Architectures Meet Excellence
Can Classic GNNs Be Strong Baselines for Graph-level Tasks? Simple Architectures Meet Excellence
Yuankai Luo
Lei Shi
Xiao-Ming Wu
AI4CE
203
0
0
13 Feb 2025
FlashVideo: Flowing Fidelity to Detail for Efficient High-Resolution Video Generation
FlashVideo: Flowing Fidelity to Detail for Efficient High-Resolution Video Generation
Shilong Zhang
Wenbo Li
Shoufa Chen
Chongjian Ge
Peize Sun
Yunke Zhang
Yi Jiang
Zehuan Yuan
Binyue Peng
Ping Luo
DiffMVGen
190
0
0
07 Feb 2025
Towards Fast Graph Generation via Autoregressive Noisy Filtration Modeling
Towards Fast Graph Generation via Autoregressive Noisy Filtration Modeling
Markus Krimmel
Jenna Wiens
Karsten Borgwardt
Dexiong Chen
141
0
0
04 Feb 2025
Learning Efficient Positional Encodings with Graph Neural Networks
Learning Efficient Positional Encodings with Graph Neural Networks
Charilaos I. Kanatsoulis
Evelyn Choi
Stephanie Jegelka
Jure Leskovec
Alejandro Ribeiro
124
3
0
03 Feb 2025
GraphMinNet: Learning Dependencies in Graphs with Light Complexity Minimal Architecture
GraphMinNet: Learning Dependencies in Graphs with Light Complexity Minimal Architecture
Md Atik Ahamed
Andrew Cheng
Qiang Ye
Q. Cheng
GNN
85
0
0
01 Feb 2025
Efficient and Trustworthy Block Propagation for Blockchain-enabled Mobile Embodied AI Networks: A Graph Resfusion Approach
Efficient and Trustworthy Block Propagation for Blockchain-enabled Mobile Embodied AI Networks: A Graph Resfusion Approach
Jiawen Kang
Jiana Liao
Runquan Gao
Jinbo Wen
Huawei Huang
Maomao Zhang
Changyan Yi
Tao Zhang
Dusit Niyato
Zibin Zheng
432
0
0
26 Jan 2025
Personalized Layer Selection for Graph Neural Networks
Personalized Layer Selection for Graph Neural Networks
Kartik Sharma
Vineeth Rakesh Mohan
Yingtong Dou
Srijan Kumar
Mahashweta Das
119
0
0
24 Jan 2025
Pareto Set Learning for Multi-Objective Reinforcement Learning
Pareto Set Learning for Multi-Objective Reinforcement Learning
Erlong Liu
Yu-Chang Wu
Xiaobin Huang
Chengrui Gao
Ren-Jian Wang
Ke Xue
Chao Qian
OffRL
235
2
0
12 Jan 2025
Balancing Efficiency and Expressiveness: Subgraph GNNs with Walk-Based Centrality
Joshua Southern
Yam Eitan
Guy Bar-Shalom
Michael M. Bronstein
Haggai Maron
Fabrizio Frasca
84
1
0
06 Jan 2025
Graph Triple Attention Network: A Decoupled Perspective
Graph Triple Attention Network: A Decoupled Perspective
Xiaotang Wang
Yun Zhu
Haizhou Shi
Yongchao Liu
Chuntao Hong
164
3
0
03 Jan 2025
Towards Foundation Models on Graphs: An Analysis on Cross-Dataset
  Transfer of Pretrained GNNs
Towards Foundation Models on Graphs: An Analysis on Cross-Dataset Transfer of Pretrained GNNs
Fabrizio Frasca
Fabian Jogl
Moshe Eliasof
Matan Ostrovsky
Carola-Bibiane Schönlieb
Thomas Gärtner
Haggai Maron
AI4CE
80
3
0
23 Dec 2024
GraphAgent: Agentic Graph Language Assistant
GraphAgent: Agentic Graph Language Assistant
Yuhao Yang
J. Tang
Lianghao Xia
Xingchen Zou
Yuxuan Liang
Chao Huang
LM&Ro
163
1
0
22 Dec 2024
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