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Weisfeiler and Leman Go Neural: Higher-order Graph Neural Networks
v1v2v3v4v5 (latest)

Weisfeiler and Leman Go Neural: Higher-order Graph Neural Networks

4 October 2018
Christopher Morris
Martin Ritzert
Matthias Fey
William L. Hamilton
J. E. Lenssen
Gaurav Rattan
Martin Grohe
    GNN
ArXiv (abs)PDFHTML

Papers citing "Weisfeiler and Leman Go Neural: Higher-order Graph Neural Networks"

50 / 876 papers shown
Title
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
215
0
0
24 Nov 2025
Resolving Node Identifiability in Graph Neural Processes via Laplacian Spectral Encodings
Resolving Node Identifiability in Graph Neural Processes via Laplacian Spectral Encodings
Zimo Yan
Zheng Xie
Chang-rui Liu
Y. X. R. Wang
47
0
0
24 Nov 2025
Graph Neural Networks vs Convolutional Neural Networks for Graph Domination Number Prediction
Graph Neural Networks vs Convolutional Neural Networks for Graph Domination Number Prediction
Randy Davila
Beyzanur Ispir
GNNAI4CE
169
0
0
22 Nov 2025
Why Physics Still Matters: Improving Machine Learning Prediction of Material Properties with Phonon-Informed Datasets
Why Physics Still Matters: Improving Machine Learning Prediction of Material Properties with Phonon-Informed Datasets
Pol Benítez
Cibrán López
Edgardo Saucedo
Teruyasu Mizoguchi
Claudio Cazorla
AI4CE
112
0
0
19 Nov 2025
Real-time prediction of breast cancer sites using deformation-aware graph neural network
Real-time prediction of breast cancer sites using deformation-aware graph neural networkEngineering applications of artificial intelligence (EAAI), 2025
Kyunghyun Lee
Yong-Min Shin
Minwoo Shin
Jihun Kim
Sunghwan Lim
Won-Yong Shin
Kyungho Yoon
AI4CE
164
0
0
17 Nov 2025
Connectivity-Guided Sparsification of 2-FWL GNNs: Preserving Full Expressivity with Improved Efficiency
Connectivity-Guided Sparsification of 2-FWL GNNs: Preserving Full Expressivity with Improved Efficiency
Rongqin Chen
Fan Mo
Pak Lon Ip
Shenghui Zhang
Dan Wu
Ye Li
Leong Hou U
52
0
0
16 Nov 2025
Generalizable Insights for Graph Transformers in Theory and Practice
Generalizable Insights for Graph Transformers in Theory and Practice
Timo Stoll
Luis Muller
Christopher Morris
97
0
0
11 Nov 2025
Enhancing Logical Expressiveness in Graph Neural Networks via Path-Neighbor Aggregation
Enhancing Logical Expressiveness in Graph Neural Networks via Path-Neighbor Aggregation
Han Yu
Xiaojuan Zhao
Aiping Li
Kai Chen
Ziniu Liu
Zhichao Peng
208
0
0
11 Nov 2025
Learning Time-Varying Graph Signals via Koopman
Learning Time-Varying Graph Signals via Koopman
S. Krishnan
Jinho Choi
Jihong Park
AI4TS
88
0
0
09 Nov 2025
Sketch-Augmented Features Improve Learning Long-Range Dependencies in Graph Neural Networks
Sketch-Augmented Features Improve Learning Long-Range Dependencies in Graph Neural Networks
Ryien Hosseini
F. Simini
V. Vishwanath
Rebecca Willett
Henry Hoffmann
73
0
0
05 Nov 2025
Homomorphism distortion: A metric to distinguish them all and in the latent space bind them
Homomorphism distortion: A metric to distinguish them all and in the latent space bind them
Martin Carrasco
Olga Zaghen
Erik Bekkers
Bastian Rieck
96
0
0
04 Nov 2025
G2rammar: Bilingual Grammar Modeling for Enhanced Text-attributed Graph Learning
G2rammar: Bilingual Grammar Modeling for Enhanced Text-attributed Graph Learning
Heng Zheng
Haochen You
Zijun Liu
Zijian Zhang
Lubin Gan
Hao Zhang
Wenjun Huang
J. Huang
100
0
0
02 Nov 2025
Data-driven Projection Generation for Efficiently Solving Heterogeneous Quadratic Programming Problems
Data-driven Projection Generation for Efficiently Solving Heterogeneous Quadratic Programming Problems
Tomoharu Iwata
Futoshi Futami
62
0
0
30 Oct 2025
Logical GANs: Adversarial Learning through Ehrenfeucht Fraisse Games
Logical GANs: Adversarial Learning through Ehrenfeucht Fraisse Games
Mirco A. Mannucci
AAML
92
0
0
26 Oct 2025
Random Search Neural Networks for Efficient and Expressive Graph Learning
Random Search Neural Networks for Efficient and Expressive Graph Learning
Michael Ito
Danai Koutra
Jenna Wiens
72
0
0
26 Oct 2025
On Universality of Deep Equivariant Networks
On Universality of Deep Equivariant Networks
Marco Pacini
Mircea Petrache
Bruno Lepri
Shubhendu Trivedi
Robin Walters
80
0
0
17 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
135
1
0
15 Oct 2025
Message Passing on the Edge: Towards Scalable and Expressive GNNs
Message Passing on the Edge: Towards Scalable and Expressive GNNs
Pablo Barceló
Fabian Jogl
Alexander Kozachinskiy
Matthias Lanzinger
Stefan Neumann
Cristóbal Rojas
84
0
0
15 Oct 2025
Structured Spectral Graph Representation Learning for Multi-label Abnormality Analysis from 3D CT Scans
Structured Spectral Graph Representation Learning for Multi-label Abnormality Analysis from 3D CT Scans
Theo Di Piazza
Carole Lazarus
O. Nempont
L. Boussel
161
0
0
12 Oct 2025
Rademacher Meets Colors: More Expressivity, but at What Cost ?
Rademacher Meets Colors: More Expressivity, but at What Cost ?
Martin Carrasco
Caio Deberaldini Netto
Vahan A. Martirosyan
Aneeqa Mehrab
Ehimare Okoyomon
Caterina Graziani
235
0
0
11 Oct 2025
Permutation-Invariant Spectral Learning via Dyson Diffusion
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Tassilo Schwarz
Cai Dieball
Constantin Kogler
Kevin Lam
Renaud Lambiotte
Arnaud Doucet
Aljaž Godec
George Deligiannidis
DiffM
136
0
0
09 Oct 2025
Fundamental Limits of Crystalline Equivariant Graph Neural Networks: A Circuit Complexity Perspective
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Yang Cao
Zhao Song
Jiahao Zhang
Jiale Zhao
131
0
0
07 Oct 2025
Pool Me Wisely: On the Effect of Pooling in Transformer-Based Models
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Sofiane Ennadir
Levente Zólyomi
Oleg Smirnov
Tianze Wang
John Pertoft
Filip Cornell
Lele Cao
84
0
0
02 Oct 2025
On The Expressive Power of GNN Derivatives
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Moshe Eliasof
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Guy Bar-Shalom
Haggai Maron
146
0
0
02 Oct 2025
Flock: A Knowledge Graph Foundation Model via Learning on Random Walks
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Jinwoo Kim
Xingyue Huang
Krzysztof Olejniczak
Kyungbin Min
M. Bronstein
Seunghoon Hong
.Ismail .Ilkan Ceylan
SLR
203
1
0
01 Oct 2025
Physics-Informed Inductive Biases for Voltage Prediction in Distribution Grids
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Ehimare Okoyomon
Arbel Yaniv
Christoph Goebel
AI4CE
61
0
0
29 Sep 2025
FS-KAN: Permutation Equivariant Kolmogorov-Arnold Networks via Function Sharing
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Ran Elbaz
Guy Bar-Shalom
Yam Eitan
Fabrizio Frasca
Haggai Maron
100
0
0
29 Sep 2025
Graph Mixing Additive Networks
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Maya Bechler-Speicher
Andrea Zerio
Maor Huri
Marie Vibeke Vestergaard
Ran Gilad-Bachrach
Tine Jess
Samir Bhatt
Aleksejs Sazonovs
92
0
0
28 Sep 2025
Gradient Flow Convergence Guarantee for General Neural Network Architectures
Gradient Flow Convergence Guarantee for General Neural Network Architectures
Yash Jakhmola
MLT
82
0
0
28 Sep 2025
Wavelet-Induced Rotary Encodings: RoPE Meets Graphs
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Isaac Reid
Arijit Sehanobish
Cedrik Höfs
Bruno Mlodozeniec
Leonhard Vulpius
Federico Barbero
Adrian Weller
K. Choromanski
Richard Turner
Petar Velickovic
148
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0
26 Sep 2025
Exact Subgraph Isomorphism Network for Predictive Graph Mining
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Taiga Kojima
Masayuki Karasuyama
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112
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Towards Pre-trained Graph Condensation via Optimal Transport
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Yeyu Yan
Shuai Zheng
Wenjun Hui
Xiangkai Zhu
Dong Chen
Zhenfeng Zhu
Yao Zhao
Kunlun He
OT
208
1
0
18 Sep 2025
What Expressivity Theory Misses: Message Passing Complexity for GNNs
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Niklas Kemper
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Stephan Günnemann
162
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Dynamic Triangulation-Based Graph Rewiring for Graph Neural Networks
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Hugo Attali
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Weisfeiler-Leman Features for Planning: A 1,000,000 Sample Size Hyperparameter Study
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A Note on Graphon-Signal Analysis of Graph Neural Networks
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NovoMolGen: Rethinking Molecular Language Model Pretraining
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Structured Spectral Graph Learning for Anomaly Classification in 3D Chest CT Scans
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HGCN(O): A Self-Tuning GCN HyperModel Toolkit for Outcome Prediction in Event-Sequence Data
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272
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Feature Construction Using Network Control Theory and Rank Encoding for Graph Machine Learning
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Understanding Generalization in Node and Link Prediction
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