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Architectures of Topological Deep Learning: A Survey of Message-Passing
  Topological Neural Networks
v1v2v3 (latest)

Architectures of Topological Deep Learning: A Survey of Message-Passing Topological Neural Networks

20 April 2023
Mathilde Papillon
Sophia Sanborn
Mustafa Hajij
Nina Miolane
    3DVAI4CE
ArXiv (abs)PDFHTML

Papers citing "Architectures of Topological Deep Learning: A Survey of Message-Passing Topological Neural Networks"

48 / 48 papers shown
Title
TopoTune : A Framework for Generalized Combinatorial Complex Neural Networks
TopoTune : A Framework for Generalized Combinatorial Complex Neural Networks
Mathilde Papillon
Guillermo Bernardez
Claudio Battiloro
Nina Miolane
BDL
157
7
0
09 Oct 2024
E(n) Equivariant Topological Neural Networks
E(n) Equivariant Topological Neural Networks
Claudio Battiloro
Ege Karaismailoglu
Mauricio Tec
George Dasoulas
Michelle Audirac
Francesca Dominici
127
9
0
24 May 2024
A Survey on Oversmoothing in Graph Neural Networks
A Survey on Oversmoothing in Graph Neural Networks
T. Konstantin Rusch
Michael M. Bronstein
Siddhartha Mishra
91
213
0
20 Mar 2023
Convolutional Learning on Simplicial Complexes
Convolutional Learning on Simplicial Complexes
Maosheng Yang
Elvin Isufi
76
21
0
26 Jan 2023
Cell Attention Networks
Cell Attention Networks
Lorenzo Giusti
Claudio Battiloro
Lucia Testa
P. Lorenzo
S. Sardellitti
Sergio Barbarossa
3DPCGNN
389
36
0
16 Sep 2022
Equivariant Hypergraph Neural Networks
Equivariant Hypergraph Neural Networks
Jinwoo Kim
Saeyoon Oh
Sungjun Cho
Seunghoon Hong
57
12
0
22 Aug 2022
SGAT: Simplicial Graph Attention Network
SGAT: Simplicial Graph Attention Network
See Hian Lee
Feng Ji
Wee Peng Tay
98
24
0
24 Jul 2022
Topological Deep Learning: Going Beyond Graph Data
Topological Deep Learning: Going Beyond Graph Data
Mustafa Hajij
Ghada Zamzmi
Theodore Papamarkou
Nina Miolane
Aldo Guzmán-Sáenz
...
Shreyas N. Samaga
Neal Livesay
Robin Walters
Paul Rosen
Michael T. Schaub
PINNGNNAI4CE
79
65
0
01 Jun 2022
Simplicial Attention Networks
Simplicial Attention Networks
Christopher Wei Jin Goh
Cristian Bodnar
Pietro Lio
GNN
91
40
0
20 Apr 2022
Message Passing Neural Networks for Hypergraphs
Message Passing Neural Networks for Hypergraphs
Sajjad Heydari
L. Livi
GNN
54
13
0
31 Mar 2022
Message passing all the way up
Message passing all the way up
Petar Velickovic
162
66
0
22 Feb 2022
Convolutional Filtering in Simplicial Complexes
Convolutional Filtering in Simplicial Complexes
Elvin Isufi
Maosheng Yang
54
14
0
29 Jan 2022
Simplicial Convolutional Filters
Simplicial Convolutional Filters
Maosheng Yang
Elvin Isufi
Michael T. Schaub
G. Leus
84
34
0
27 Jan 2022
Dynamic Hypergraph Convolutional Networks for Skeleton-Based Action
  Recognition
Dynamic Hypergraph Convolutional Networks for Skeleton-Based Action Recognition
Jinfeng Wei
Yunxin Wang
Mengli Guo
Pei Lv
Xiaoshan Yang
Mingliang Xu
GNN
62
11
0
20 Dec 2021
BScNets: Block Simplicial Complex Neural Networks
BScNets: Block Simplicial Complex Neural Networks
Yuzhou Chen
Yulia R. Gel
H. Vincent Poor
GNN
63
35
0
13 Dec 2021
Dist2Cycle: A Simplicial Neural Network for Homology Localization
Dist2Cycle: A Simplicial Neural Network for Homology Localization
A. Keros
Vidit Nanda
Kartic Subr
43
28
0
28 Oct 2021
Signal Processing on Cell Complexes
Signal Processing on Cell Complexes
T. Roddenberry
Michael T. Schaub
Mustafa Hajij
61
43
0
11 Oct 2021
Simplicial Convolutional Neural Networks
Simplicial Convolutional Neural Networks
Maosheng Yang
Elvin Isufi
G. Leus
GNN
96
58
0
06 Oct 2021
Towards a Survey on Static and Dynamic Hypergraph Visualizations
Towards a Survey on Static and Dynamic Hypergraph Visualizations
M. T. Fischer
A. Frings
Daniel A. Keim
Daniel Seebacher
68
25
0
29 Jul 2021
You are AllSet: A Multiset Function Framework for Hypergraph Neural
  Networks
You are AllSet: A Multiset Function Framework for Hypergraph Neural Networks
Eli Chien
Chao Pan
Jianhao Peng
O. Milenkovic
GNN
108
133
0
24 Jun 2021
Weisfeiler and Lehman Go Cellular: CW Networks
Weisfeiler and Lehman Go Cellular: CW Networks
Cristian Bodnar
Fabrizio Frasca
N. Otter
Yu Guang Wang
Pietro Lio
Guido Montúfar
M. Bronstein
GNN
112
237
0
23 Jun 2021
UniGNN: a Unified Framework for Graph and Hypergraph Neural Networks
UniGNN: a Unified Framework for Graph and Hypergraph Neural Networks
Jing Huang
Jie Yang
AI4CEGNN
54
176
0
03 May 2021
Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges
Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges
M. Bronstein
Joan Bruna
Taco S. Cohen
Petar Velivcković
GNN
362
1,163
0
27 Apr 2021
Finite Impulse Response Filters for Simplicial Complexes
Finite Impulse Response Filters for Simplicial Complexes
Maosheng Yang
Elvin Isufi
Michael T. Schaub
G. Leus
70
36
0
23 Mar 2021
Simplicial Complex Representation Learning
Simplicial Complex Representation Learning
Mustafa Hajij
Ghada Zamzmi
Theodore Papamarkou
Vasileios Maroulas
X. Cai
75
18
0
06 Mar 2021
Weisfeiler and Lehman Go Topological: Message Passing Simplicial
  Networks
Weisfeiler and Lehman Go Topological: Message Passing Simplicial Networks
Cristian Bodnar
Fabrizio Frasca
Yu Guang Wang
N. Otter
Guido Montúfar
Pietro Lio
M. Bronstein
109
257
0
04 Mar 2021
Principled Simplicial Neural Networks for Trajectory Prediction
Principled Simplicial Neural Networks for Trajectory Prediction
T. Roddenberry
Nicholas Glaze
Santiago Segarra
3DPC
99
93
0
19 Feb 2021
Signal Processing on Higher-Order Networks: Livin' on the Edge ... and
  Beyond
Signal Processing on Higher-Order Networks: Livin' on the Edge ... and Beyond
Michael T. Schaub
Yu Zhu
Jean-Baptiste Seby
T. Roddenberry
Santiago Segarra
183
149
0
14 Jan 2021
Be More with Less: Hypergraph Attention Networks for Inductive Text
  Classification
Be More with Less: Hypergraph Attention Networks for Inductive Text Classification
Kaize Ding
Jianling Wang
Jundong Li
Dingcheng Li
Huan Liu
GNN
47
209
0
01 Nov 2020
k-simplex2vec: a simplicial extension of node2vec
k-simplex2vec: a simplicial extension of node2vec
Celia Hacker
51
19
0
12 Oct 2020
HyperSAGE: Generalizing Inductive Representation Learning on Hypergraphs
HyperSAGE: Generalizing Inductive Representation Learning on Hypergraphs
Devanshu Arya
D. K. Gupta
Stevan Rudinac
Marcel Worring
68
78
0
09 Oct 2020
Simplicial Neural Networks
Simplicial Neural Networks
Stefania Ebli
M. Defferrard
Gard Spreemann
GNN
73
131
0
07 Oct 2020
Cell Complex Neural Networks
Cell Complex Neural Networks
Mustafa Hajij
Kyle Istvan
Ghada Zamzmi
105
61
0
02 Oct 2020
Simple and Deep Graph Convolutional Networks
Simple and Deep Graph Convolutional Networks
Ming Chen
Zhewei Wei
Zengfeng Huang
Bolin Ding
Yaliang Li
GNN
127
1,501
0
04 Jul 2020
HNHN: Hypergraph Networks with Hyperedge Neurons
HNHN: Hypergraph Networks with Hyperedge Neurons
Yihe Dong
W. Sawin
Yoshua Bengio
GNN
47
133
0
22 Jun 2020
Deep Hyperedges: a Framework for Transductive and Inductive Learning on
  Hypergraphs
Deep Hyperedges: a Framework for Transductive and Inductive Learning on Hypergraphs
Josh Payne
GNN
109
24
0
07 Oct 2019
HyperLearn: A Distributed Approach for Representation Learning in
  Datasets With Many Modalities
HyperLearn: A Distributed Approach for Representation Learning in Datasets With Many Modalities
Devanshu Arya
Stevan Rudinac
Marcel Worring
56
11
0
19 Sep 2019
Measuring and Relieving the Over-smoothing Problem for Graph Neural
  Networks from the Topological View
Measuring and Relieving the Over-smoothing Problem for Graph Neural Networks from the Topological View
Deli Chen
Yankai Lin
Wei Li
Peng Li
Jie Zhou
Xu Sun
94
1,113
0
07 Sep 2019
Simplex2Vec embeddings for community detection in simplicial complexes
Simplex2Vec embeddings for community detection in simplicial complexes
J. Billings
Mirko Hu
G. Lerda
Alexey N. Medvedev
Francesco Mottes
Adrian I. Onicas
Andrea Santoro
G. Petri
47
30
0
21 Jun 2019
Hypergraph Convolution and Hypergraph Attention
Hypergraph Convolution and Hypergraph Attention
S. Bai
Feihu Zhang
Philip Torr
GNN
95
629
0
23 Jan 2019
Graph Neural Networks: A Review of Methods and Applications
Graph Neural Networks: A Review of Methods and Applications
Jie Zhou
Ganqu Cui
Shengding Hu
Zhengyan Zhang
Cheng Yang
Zhiyuan Liu
Lifeng Wang
Changcheng Li
Maosong Sun
AI4CEGNN
1.1K
5,551
0
20 Dec 2018
Hypergraph Neural Networks
Hypergraph Neural Networks
Yifan Feng
Haoxuan You
Zizhao Zhang
Rongrong Ji
Yue Gao
GNN
90
1,385
0
25 Sep 2018
Neural Message Passing for Quantum Chemistry
Neural Message Passing for Quantum Chemistry
Justin Gilmer
S. Schoenholz
Patrick F. Riley
Oriol Vinyals
George E. Dahl
598
7,496
0
04 Apr 2017
Geometric deep learning: going beyond Euclidean data
Geometric deep learning: going beyond Euclidean data
M. Bronstein
Joan Bruna
Yann LeCun
Arthur Szlam
P. Vandergheynst
GNN
815
3,298
0
24 Nov 2016
node2vec: Scalable Feature Learning for Networks
node2vec: Scalable Feature Learning for Networks
Aditya Grover
J. Leskovec
194
10,924
0
03 Jul 2016
DeepWalk: Online Learning of Social Representations
DeepWalk: Online Learning of Social Representations
Bryan Perozzi
Rami Al-Rfou
Steven Skiena
HAI
265
9,809
0
26 Mar 2014
The Total Variation on Hypergraphs - Learning on Hypergraphs Revisited
The Total Variation on Hypergraphs - Learning on Hypergraphs Revisited
Matthias Hein
S. Setzer
Leonardo Jost
Syama Sundar Rangapuram
76
163
0
18 Dec 2013
Statistical ranking and combinatorial Hodge theory
Statistical ranking and combinatorial Hodge theory
Xiaoye Jiang
Lek-Heng Lim
Yuan Yao
Yinyu Ye
121
372
0
07 Nov 2008
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