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

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

50 / 808 papers shown
Title
Algorithm and System Co-design for Efficient Subgraph-based Graph
  Representation Learning
Algorithm and System Co-design for Efficient Subgraph-based Graph Representation Learning
Haoteng Yin
Muhan Zhang
Yanbang Wang
Jianguo Wang
Pan Li
13
32
0
28 Feb 2022
Distribution Preserving Graph Representation Learning
Distribution Preserving Graph Representation Learning
Chengsheng Mao
Yuan Luo
16
0
0
27 Feb 2022
Directed Graph Auto-Encoders
Directed Graph Auto-Encoders
Georgios Kollias
Vasileios Kalantzis
Tsuyoshi Idé
A. Lozano
Naoki Abe
BDL
GNN
30
34
0
25 Feb 2022
Message passing all the way up
Message passing all the way up
Petar Velickovic
111
63
0
22 Feb 2022
Ligandformer: A Graph Neural Network for Predicting Compound Property
  with Robust Interpretation
Ligandformer: A Graph Neural Network for Predicting Compound Property with Robust Interpretation
Jinjiang Guo
Qi Liu
Han Guo
Xi Lu
AI4CE
18
3
0
21 Feb 2022
1-WL Expressiveness Is (Almost) All You Need
1-WL Expressiveness Is (Almost) All You Need
Markus Zopf
19
11
0
21 Feb 2022
What Functions Can Graph Neural Networks Generate?
What Functions Can Graph Neural Networks Generate?
Mohammad Fereydounian
Hamed Hassani
Amin Karbasi
25
4
0
17 Feb 2022
Data Augmentation for Deep Graph Learning: A Survey
Data Augmentation for Deep Graph Learning: A Survey
Kaize Ding
Zhe Xu
Hanghang Tong
Huan Liu
OOD
GNN
21
218
0
16 Feb 2022
Instance-wise algorithm configuration with graph neural networks
Instance-wise algorithm configuration with graph neural networks
Romeo Valentin
Claudio Ferrari
Jérémy Scheurer
Andisheh Amrollahi
Chris Wendler
Max B. Paulus
14
3
0
10 Feb 2022
Neural Sheaf Diffusion: A Topological Perspective on Heterophily and
  Oversmoothing in GNNs
Neural Sheaf Diffusion: A Topological Perspective on Heterophily and Oversmoothing in GNNs
Cristian Bodnar
Francesco Di Giovanni
B. Chamberlain
Pietro Lio'
Michael M. Bronstein
29
170
0
09 Feb 2022
Structure-Aware Transformer for Graph Representation Learning
Structure-Aware Transformer for Graph Representation Learning
Dexiong Chen
Leslie O’Bray
Karsten M. Borgwardt
28
237
0
07 Feb 2022
A Graph Based Neural Network Approach to Immune Profiling of Multiplexed
  Tissue Samples
A Graph Based Neural Network Approach to Immune Profiling of Multiplexed Tissue Samples
Natalia Garcia Martin
S. Malacrino
M. Wojciechowska
L. Campo
Helen Jones
...
Chris Holmes
K. Sirinukunwattana
H. Sailem
C. Verrill
J. Rittscher
14
5
0
01 Feb 2022
Generalization Analysis of Message Passing Neural Networks on Large
  Random Graphs
Generalization Analysis of Message Passing Neural Networks on Large Random Graphs
Sohir Maskey
Ron Levie
Yunseok Lee
Gitta Kutyniok
GNN
80
54
0
01 Feb 2022
Weisfeiler and Leman Go Infinite: Spectral and Combinatorial
  Pre-Colorings
Weisfeiler and Leman Go Infinite: Spectral and Combinatorial Pre-Colorings
Or Feldman
A. Boyarski
Shai Feldman
D. Kogan
A. Mendelson
Chaim Baskin
32
14
0
31 Jan 2022
MGNN: Graph Neural Networks Inspired by Distance Geometry Problem
MGNN: Graph Neural Networks Inspired by Distance Geometry Problem
Guanyu Cui
Zhewei Wei
27
7
0
31 Jan 2022
A Theoretical Comparison of Graph Neural Network Extensions
A Theoretical Comparison of Graph Neural Network Extensions
Pál András Papp
Roger Wattenhofer
100
46
0
30 Jan 2022
Discovering Invariant Rationales for Graph Neural Networks
Discovering Invariant Rationales for Graph Neural Networks
Yingmin Wu
Xiang Wang
An Zhang
Xiangnan He
Tat-Seng Chua
OOD
AI4CE
99
224
0
30 Jan 2022
Graph Representation Learning via Aggregation Enhancement
Graph Representation Learning via Aggregation Enhancement
Maxim Fishman
Chaim Baskin
Evgenii Zheltonozhskii
Almog David
Ron Banner
A. Mendelson
24
0
0
30 Jan 2022
Neural Approximation of Graph Topological Features
Neural Approximation of Graph Topological Features
Zuoyu Yan
Tengfei Ma
Liangcai Gao
Zhi Tang
Yusu Wang
Chao Chen
17
12
0
28 Jan 2022
PowerGear: Early-Stage Power Estimation in FPGA HLS via Heterogeneous
  Edge-Centric GNNs
PowerGear: Early-Stage Power Estimation in FPGA HLS via Heterogeneous Edge-Centric GNNs
Zhe Lin
Zike Yuan
Jieru Zhao
Wei Zhang
Hui Wang
Yonghong Tian
12
18
0
25 Jan 2022
Reinforcement Learning Based Query Vertex Ordering Model for Subgraph
  Matching
Reinforcement Learning Based Query Vertex Ordering Model for Subgraph Matching
Hanchen Wang
Ying Zhang
Lu Qin
Wei Wang
Wenbo Zhang
Xuemin Lin
27
18
0
25 Jan 2022
On Evaluation Metrics for Graph Generative Models
On Evaluation Metrics for Graph Generative Models
Rylee Thompson
Boris Knyazev
Elahe Ghalebi
Jungtaek Kim
Graham W. Taylor
EGVM
40
41
0
24 Jan 2022
How Expressive are Transformers in Spectral Domain for Graphs?
How Expressive are Transformers in Spectral Domain for Graphs?
Anson Bastos
Abhishek Nadgeri
Kuldeep Singh
H. Kanezashi
Toyotaro Suzumura
I. Mulang'
21
12
0
23 Jan 2022
Federated Learning with Heterogeneous Architectures using Graph
  HyperNetworks
Federated Learning with Heterogeneous Architectures using Graph HyperNetworks
Or Litany
Haggai Maron
David Acuna
Jan Kautz
Gal Chechik
Sanja Fidler
FedML
38
24
0
20 Jan 2022
A Cognitive Explainer for Fetal ultrasound images classifier Based on
  Medical Concepts
A Cognitive Explainer for Fetal ultrasound images classifier Based on Medical Concepts
Ying-Shuai Wanga
Yunxia Liua
Licong Dongc
Xuzhou Wua
Huabin Zhangb
Qiongyu Yed
Desheng Sunc
Xiaobo Zhoue
Kehong Yuan
27
0
0
19 Jan 2022
A Short Tutorial on The Weisfeiler-Lehman Test And Its Variants
A Short Tutorial on The Weisfeiler-Lehman Test And Its Variants
Ningyuan Huang
Soledad Villar
24
62
0
18 Jan 2022
Doing More with Less: Overcoming Data Scarcity for POI Recommendation
  via Cross-Region Transfer
Doing More with Less: Overcoming Data Scarcity for POI Recommendation via Cross-Region Transfer
Vinayak Gupta
Srikanta J. Bedathur
33
19
0
16 Jan 2022
Automated Graph Machine Learning: Approaches, Libraries, Benchmarks and
  Directions
Automated Graph Machine Learning: Approaches, Libraries, Benchmarks and Directions
Xin Wang
Ziwei Zhang
Haoyang Li
Wenwu Zhu
41
2
0
04 Jan 2022
KerGNNs: Interpretable Graph Neural Networks with Graph Kernels
KerGNNs: Interpretable Graph Neural Networks with Graph Kernels
Aosong Feng
Chenyu You
Shiqiang Wang
Leandros Tassiulas
GNN
13
78
0
03 Jan 2022
Motif Graph Neural Network
Motif Graph Neural Network
Xuexin Chen
Ruichu Cai
Yuan Fang
Min-man Wu
Zijian Li
Zhifeng Hao
14
22
0
30 Dec 2021
Revisiting Transformation Invariant Geometric Deep Learning: Are Initial
  Representations All You Need?
Revisiting Transformation Invariant Geometric Deep Learning: Are Initial Representations All You Need?
Ziwei Zhang
Xin Wang
Zeyang Zhang
Peng Cui
Wenwu Zhu
3DPC
22
6
0
23 Dec 2021
Weisfeiler and Leman go Machine Learning: The Story so far
Weisfeiler and Leman go Machine Learning: The Story so far
Christopher Morris
Y. Lipman
Haggai Maron
Bastian Alexander Rieck
Nils M. Kriege
Martin Grohe
Matthias Fey
Karsten M. Borgwardt
GNN
43
111
0
18 Dec 2021
Graph Convolutional Networks with Dual Message Passing for Subgraph
  Isomorphism Counting and Matching
Graph Convolutional Networks with Dual Message Passing for Subgraph Isomorphism Counting and Matching
Xin Liu
Yangqiu Song
GNN
24
24
0
16 Dec 2021
Graph Kernel Neural Networks
Graph Kernel Neural Networks
Luca Cosmo
G. Minello
Alessandro Bicciato
M. Bronstein
Emanuele Rodolà
Luca Rossi
A. Torsello
GNN
41
20
0
14 Dec 2021
A New Perspective on the Effects of Spectrum in Graph Neural Networks
A New Perspective on the Effects of Spectrum in Graph Neural Networks
Mingqi Yang
Yanming Shen
Rui Li
Heng Qi
Qian Zhang
Baocai Yin
GNN
15
27
0
14 Dec 2021
Joint 3D Object Detection and Tracking Using Spatio-Temporal
  Representation of Camera Image and LiDAR Point Clouds
Joint 3D Object Detection and Tracking Using Spatio-Temporal Representation of Camera Image and LiDAR Point Clouds
Junho Koh
Jaekyum Kim
J. Yoo
Yecheol Kim
Dongsuk Kum
Junghwan Choi
3DPC
19
14
0
14 Dec 2021
BScNets: Block Simplicial Complex Neural Networks
BScNets: Block Simplicial Complex Neural Networks
Yuzhou Chen
Yulia R. Gel
H. Vincent Poor
GNN
25
33
0
13 Dec 2021
Equivariant Quantum Graph Circuits
Equivariant Quantum Graph Circuits
Péter Mernyei
K. Meichanetzidis
.Ismail .Ilkan Ceylan
36
8
0
10 Dec 2021
A systematic approach to random data augmentation on graph neural
  networks
A systematic approach to random data augmentation on graph neural networks
Billy Joe Franks
Markus Anders
Marius Kloft
Pascal Schweitzer
OOD
AAML
6
0
0
08 Dec 2021
OOD-GNN: Out-of-Distribution Generalized Graph Neural Network
OOD-GNN: Out-of-Distribution Generalized Graph Neural Network
Haoyang Li
Xin Wang
Ziwei Zhang
Wenwu Zhu
OODD
OOD
26
97
0
07 Dec 2021
Permutation Equivariant Generative Adversarial Networks for Graphs
Permutation Equivariant Generative Adversarial Networks for Graphs
Yoann Boget
Magda Gregorova
Alexandros Kalousis
GAN
11
0
0
07 Dec 2021
Generating Diverse 3D Reconstructions from a Single Occluded Face Image
Generating Diverse 3D Reconstructions from a Single Occluded Face Image
Rahul Dey
Vishnu Naresh Boddeti
CVBM
3DH
26
7
0
01 Dec 2021
Understanding over-squashing and bottlenecks on graphs via curvature
Understanding over-squashing and bottlenecks on graphs via curvature
Jake Topping
Francesco Di Giovanni
B. Chamberlain
Xiaowen Dong
M. Bronstein
41
425
0
29 Nov 2021
Rotation Equivariant 3D Hand Mesh Generation from a Single RGB Image
Rotation Equivariant 3D Hand Mesh Generation from a Single RGB Image
Joshua Mitton
Chaitanya Kaul
Roderick Murray-Smith
3DH
18
0
0
25 Nov 2021
AutoHEnsGNN: Winning Solution to AutoGraph Challenge for KDD Cup 2020
AutoHEnsGNN: Winning Solution to AutoGraph Challenge for KDD Cup 2020
Jin Xu
Mingjian Chen
Jianqiang Huang
Xingyuan Tang
Ke Hu
Jian Li
Jia Cheng
Jun Lei
20
2
0
25 Nov 2021
Graph Neural Networks with Parallel Neighborhood Aggregations for Graph
  Classification
Graph Neural Networks with Parallel Neighborhood Aggregations for Graph Classification
Siddhant Doshi
S. Chepuri
GNN
20
4
0
22 Nov 2021
IV-GNN : Interval Valued Data Handling Using Graph Neural Network
IV-GNN : Interval Valued Data Handling Using Graph Neural Network
Sucheta Dawn
S. Bandyopadhyay
GNN
67
1
0
17 Nov 2021
DropGNN: Random Dropouts Increase the Expressiveness of Graph Neural
  Networks
DropGNN: Random Dropouts Increase the Expressiveness of Graph Neural Networks
Pál András Papp
Karolis Martinkus
Lukas Faber
Roger Wattenhofer
GNN
22
138
0
11 Nov 2021
Directional Message Passing on Molecular Graphs via Synthetic
  Coordinates
Directional Message Passing on Molecular Graphs via Synthetic Coordinates
Johannes Klicpera
Chandan Yeshwanth
Stephan Günnemann
42
35
0
08 Nov 2021
Learning on Random Balls is Sufficient for Estimating (Some) Graph
  Parameters
Learning on Random Balls is Sufficient for Estimating (Some) Graph Parameters
Takanori Maehara
Hoang NT
41
2
0
05 Nov 2021
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