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2102.10058
Cited By
Principled Simplicial Neural Networks for Trajectory Prediction
19 February 2021
T. Roddenberry
Nicholas Glaze
Santiago Segarra
3DPC
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Papers citing
"Principled Simplicial Neural Networks for Trajectory Prediction"
50 / 57 papers shown
Title
COSMOS: Continuous Simplicial Neural Networks
Aref Einizade
Dorina Thanou
Fragkiskos D. Malliaros
Jhony H. Giraldo
AI4CE
56
0
0
17 Mar 2025
Dirac-Equation Signal Processing: Physics Boosts Topological Machine Learning
Runyue Wang
Yu Tian
Pietro Liò
Ginestra Bianconi
70
2
0
06 Dec 2024
Topological Trajectory Classification and Landmark Inference on Simplicial Complexes
Vincent P. Grande
Josef Hoppe
Florian Frantzen
Michael T. Schaub
62
0
0
04 Dec 2024
Higher-order Cross-structural Embedding Model for Time Series Analysis
Guancen Lin
Cong Shen
Aijing Lin
AI4TS
35
0
0
30 Oct 2024
Graph Neural Networks for Edge Signals: Orientation Equivariance and Invariance
Dominik Fuchsgruber
Tim Poštuvan
Stephan Günnemann
Simon Geisler
34
2
0
22 Oct 2024
TopoTune : A Framework for Generalized Combinatorial Complex Neural Networks
Mathilde Papillon
Guillermo Bernardez
Claudio Battiloro
Nina Miolane
BDL
52
1
0
09 Oct 2024
Molecular topological deep learning for polymer property prediction
Cong Shen
Yipeng Zhang
Fei Han
Kelin Xia
AI4CE
33
0
0
07 Oct 2024
Imputation of Time-varying Edge Flows in Graphs by Multilinear Kernel Regression and Manifold Learning
D. Nguyen
Konstantinos Slavakis
Dimitris Pados
23
0
0
08 Sep 2024
Efficient Path Planning with Soft Homology Constraints
Carlos A. Taveras
Santiago Segarra
César A. Uribe
22
0
0
27 Jun 2024
E(n) Equivariant Topological Neural Networks
Claudio Battiloro
Ege Karaismailoglu
Mauricio Tec
George Dasoulas
Michelle Audirac
Francesca Dominici
47
5
0
24 May 2024
Learning From Simplicial Data Based on Random Walks and 1D Convolutions
Florian Frantzen
Michael T. Schaub
97
0
0
04 Apr 2024
Position: Topological Deep Learning is the New Frontier for Relational Learning
Theodore Papamarkou
Tolga Birdal
Michael M. Bronstein
Gunnar Carlsson
Justin Curry
...
Petar Velickovic
Bei Wang
Yusu Wang
Guo-Wei Wei
Ghada Zamzmi
AI4CE
54
25
0
14 Feb 2024
TopoX: A Suite of Python Packages for Machine Learning on Topological Domains
Mustafa Hajij
Mathilde Papillon
Florian Frantzen
Jens Agerberg
Ibrahem AlJabea
...
Maosheng Yang
Olga Zaghen
Ghada Zamzmi
Ali Zia
Nina Miolane
34
11
0
04 Feb 2024
Topo-MLP : A Simplicial Network Without Message Passing
K. Ramamurthy
Aldo Guzmán-Sáenz
Mustafa Hajij
49
8
0
19 Dec 2023
Combinatorial Complexes: Bridging the Gap Between Cell Complexes and Hypergraphs
Mustafa Hajij
Ghada Zamzmi
Theodore Papamarkou
Aldo Guzmán-Sáenz
Tolga Birdal
Michael T. Schaub
19
6
0
15 Dec 2023
Simplicial Representation Learning with Neural
k
k
k
-Forms
Kelly Maggs
Celia Hacker
Bastian Alexander Rieck
AI4CE
27
10
0
13 Dec 2023
Disentangling the Spectral Properties of the Hodge Laplacian: Not All Small Eigenvalues Are Equal
Vincent P. Grande
Michael T. Schaub
24
4
0
24 Nov 2023
Hodge-Compositional Edge Gaussian Processes
Maosheng Yang
Viacheslav Borovitskiy
Elvin Isufi
13
8
0
30 Oct 2023
On the spectrum of the Hodge Laplacian on sequences
Hannah Santa Cruz Baur
V. Itskov
22
0
0
17 Oct 2023
ICML 2023 Topological Deep Learning Challenge : Design and Results
Mathilde Papillon
Mustafa Hajij
Helen Jenne
Johan Mathe
Audun Myers
...
Maosheng Yang
Yixiao Yue
Olga Zaghen
Ali Zia
Nina Miolane
AI4CE
45
3
0
26 Sep 2023
Higher-order Graph Convolutional Network with Flower-Petals Laplacians on Simplicial Complexes
Yiming Huang
Yujie Zeng
Qiang Wu
Linyuan Lu
25
18
0
22 Sep 2023
SC-MAD: Mixtures of Higher-order Networks for Data Augmentation
Madeline Navarro
Santiago Segarra
19
1
0
14 Sep 2023
Hodge-Aware Contrastive Learning
Alexander Mollers
Alexander Immer
Vincent Fortuin
Elvin Isufi
25
1
0
14 Sep 2023
Generalized Simplicial Attention Neural Networks
Claudio Battiloro
Lucia Testa
Lorenzo Giusti
S. Sardellitti
P. Lorenzo
Sergio Barbarossa
25
18
0
05 Sep 2023
Representing Edge Flows on Graphs via Sparse Cell Complexes
Josef Hoppe
Michael T. Schaub
11
4
0
04 Sep 2023
Influential Simplices Mining via Simplicial Convolutional Network
Yujie Zeng
Yiming Huang
Qiang Wu
Linyuan Lu
19
10
0
11 Jul 2023
From Latent Graph to Latent Topology Inference: Differentiable Cell Complex Module
Claudio Battiloro
Indro Spinelli
Lev Telyatnikov
Michael M. Bronstein
Simone Scardapane
P. Lorenzo
BDL
21
14
0
25 May 2023
NervePool: A Simplicial Pooling Layer
Sarah McGuire
E. Munch
M. Hirn
25
1
0
10 May 2023
Simplicial Hopfield networks
Thomas F Burns
T. Fukai
28
15
0
09 May 2023
Hypergraphs with Edge-Dependent Vertex Weights: Spectral Clustering based on the 1-Laplacian
Yu Zhu
Boning Li
Santiago Segarra
19
3
0
30 Apr 2023
Architectures of Topological Deep Learning: A Survey of Message-Passing Topological Neural Networks
Mathilde Papillon
Sophia Sanborn
Mustafa Hajij
Nina Miolane
3DV
AI4CE
30
33
0
20 Apr 2023
Topological Point Cloud Clustering
Vincent P. Grande
Michael T. Schaub
3DPC
21
7
0
29 Mar 2023
Convolutional Learning on Simplicial Complexes
Maosheng Yang
Elvin Isufi
16
19
0
26 Jan 2023
Dirac signal processing of higher-order topological signals
Lucille Calmon
Michael T. Schaub
G. Bianconi
11
27
0
12 Jan 2023
Graph Filters for Signal Processing and Machine Learning on Graphs
Elvin Isufi
Fernando Gama
D. Shuman
Santiago Segarra
GNN
30
62
0
16 Nov 2022
Stable and Transferable Hyper-Graph Neural Networks
Mikhail Hayhoe
Hans Riess
V. Preciado
Alejandro Ribeiro
38
1
0
11 Nov 2022
Cell Attention Networks
Lorenzo Giusti
Claudio Battiloro
Lucia Testa
P. Lorenzo
S. Sardellitti
Sergio Barbarossa
3DPC
GNN
130
32
0
16 Sep 2022
Probabilistic Symmetry for Multi-Agent Dynamics
S. Sun
Robin G. Walters
Jinxi Li
Rose Yu
6
1
0
04 May 2022
Simplicial Attention Networks
Christopher Wei Jin Goh
Cristian Bodnar
Pietro Lio'
GNN
37
36
0
20 Apr 2022
Simplicial Attention Neural Networks
L. Giusti
Claudio Battiloro
P. Lorenzo
S. Sardellitti
Sergio Barbarossa
38
32
0
14 Mar 2022
Convolutional Filtering in Simplicial Complexes
Elvin Isufi
Maosheng Yang
21
14
0
29 Jan 2022
Simplicial Convolutional Filters
Maosheng Yang
Elvin Isufi
Michael T. Schaub
G. Leus
30
32
0
27 Jan 2022
BScNets: Block Simplicial Complex Neural Networks
Yuzhou Chen
Yulia R. Gel
H. Vincent Poor
GNN
20
33
0
13 Dec 2021
Outlier Detection for Trajectories via Flow-embeddings
Florian Frantzen
Jean-Baptiste Seby
Michael T. Schaub
19
8
0
25 Nov 2021
Signal Processing on Cell Complexes
T. Roddenberry
Michael T. Schaub
Mustafa Hajij
13
40
0
11 Oct 2021
Simplicial Convolutional Neural Networks
Maosheng Yang
Elvin Isufi
G. Leus
GNN
65
57
0
06 Oct 2021
Data-Centric AI Requires Rethinking Data Notion
Mustafa Hajij
Ghada Zamzmi
K. Ramamurthy
Aldo Guzmán-Sáenz
44
16
0
06 Oct 2021
A Robust Alternative for Graph Convolutional Neural Networks via Graph Neighborhood Filters
Victor M. Tenorio
Samuel Rey
Fernando Gama
Santiago Segarra
A. Marques
GNN
19
7
0
02 Oct 2021
Untrained Graph Neural Networks for Denoising
Samuel Rey
Santiago Segarra
Reinhard Heckel
A. Marques
32
28
0
24 Sep 2021
The decomposition of the higher-order homology embedding constructed from the
k
k
k
-Laplacian
Yu-Chia Chen
M. Meilă
20
9
0
23 Jul 2021
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