ResearchTrend.AI
  • Communities
  • Connect sessions
  • AI calendar
  • Organizations
  • Join Slack
  • Contact Sales
Papers
Communities
Social Events
Terms and Conditions
Pricing
Contact Sales
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2102.10058
  4. Cited By
Principled Simplicial Neural Networks for Trajectory Prediction
v1v2v3 (latest)

Principled Simplicial Neural Networks for Trajectory Prediction

International Conference on Machine Learning (ICML), 2021
19 February 2021
T. Roddenberry
Nicholas Glaze
Santiago Segarra
    3DPC
ArXiv (abs)PDFHTML

Papers citing "Principled Simplicial Neural Networks for Trajectory Prediction"

50 / 62 papers shown
Title
On the Sheafification of Higher-Order Message Passing
On the Sheafification of Higher-Order Message Passing
Jacob Hume
Pietro Liò
AI4CE
128
0
0
27 Sep 2025
Structure-Preserving Digital Twins via Conditional Neural Whitney Forms
Structure-Preserving Digital Twins via Conditional Neural Whitney Forms
Brooks Kinch
Benjamin Shaffer
Elizabeth Armstrong
Michael Meehan
John Hewson
Nathaniel Trask
AI4CE
104
2
0
09 Aug 2025
Leveraging Personalized PageRank and Higher-Order Topological Structures for Heterophily Mitigation in Graph Neural Networks
Leveraging Personalized PageRank and Higher-Order Topological Structures for Heterophily Mitigation in Graph Neural NetworksInternational Joint Conference on Artificial Intelligence (IJCAI), 2025
Y. X. R. Wang
Zengyi Wo
Wenjun Wang
Xingcheng Fu
Minglai Shao
231
6
0
22 Jul 2025
CellCLAT: Preserving Topology and Trimming Redundancy in Self-Supervised Cellular Contrastive Learning
CellCLAT: Preserving Topology and Trimming Redundancy in Self-Supervised Cellular Contrastive Learning
Bin Qin
Qirui Ji
Jiangmeng Li
Yupeng Wang
Xuesong Wu
Jianwen Cao
Jianwei Niu
180
1
0
27 May 2025
Directed Semi-Simplicial Learning with Applications to Brain Activity Decoding
Directed Semi-Simplicial Learning with Applications to Brain Activity Decoding
Manuel Lecha
Andrea Cavallo
Francesca Dominici
Ran Levi
Alessio Del Bue
Elvin Isufi
Pietro Morerio
Claudio Battiloro
AI4CE
340
2
0
23 May 2025
Continuous Simplicial Neural Networks
Continuous Simplicial Neural Networks
Aref Einizade
Dorina Thanou
Fragkiskos D. Malliaros
Jhony H. Giraldo
AI4CE
359
2
0
17 Mar 2025
Dirac-Equation Signal Processing: Physics Boosts Topological Machine
  Learning
Dirac-Equation Signal Processing: Physics Boosts Topological Machine LearningPNAS Nexus (PNAS Nexus), 2024
Runyue Wang
Yu Tian
Pietro Liò
Ginestra Bianconi
209
7
0
06 Dec 2024
Topological Trajectory Classification and Landmark Inference on
  Simplicial Complexes
Topological Trajectory Classification and Landmark Inference on Simplicial ComplexesAsilomar Conference on Signals, Systems and Computers (ACSSC), 2024
Vincent P. Grande
Josef Hoppe
Florian Frantzen
Michael T. Schaub
225
2
0
04 Dec 2024
Higher-order Cross-structural Embedding Model for Time Series Analysis
Higher-order Cross-structural Embedding Model for Time Series Analysis
Guancen Lin
Cong Shen
Aijing Lin
AI4TS
148
1
0
30 Oct 2024
Graph Neural Networks for Edge Signals: Orientation Equivariance and Invariance
Graph Neural Networks for Edge Signals: Orientation Equivariance and InvarianceInternational Conference on Learning Representations (ICLR), 2024
Dominik Fuchsgruber
Tim Poštuvan
Stephan Günnemann
Simon Geisler
253
3
0
22 Oct 2024
TopoTune : A Framework for Generalized Combinatorial Complex Neural Networks
TopoTune : A Framework for Generalized Combinatorial Complex Neural Networks
Johan Mathe
Guillermo Bernardez
Claudio Battiloro
Nina Miolane
BDL
507
11
0
09 Oct 2024
Molecular topological deep learning for polymer property prediction
Molecular topological deep learning for polymer property prediction
Cong Shen
Yipeng Zhang
Fei Han
Kelin Xia
AI4CE
166
1
0
07 Oct 2024
Imputation of Time-varying Edge Flows in Graphs by Multilinear Kernel
  Regression and Manifold Learning
Imputation of Time-varying Edge Flows in Graphs by Multilinear Kernel Regression and Manifold LearningSignal Processing (Signal Process.), 2024
D. Nguyen
Konstantinos Slavakis
Dimitris Pados
163
2
0
08 Sep 2024
Efficient Path Planning with Soft Homology Constraints
Efficient Path Planning with Soft Homology Constraints
Carlos A. Taveras
Santiago Segarra
César A. Uribe
184
0
0
27 Jun 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
513
17
0
24 May 2024
Learning From Simplicial Data Based on Random Walks and 1D Convolutions
Learning From Simplicial Data Based on Random Walks and 1D ConvolutionsInternational Conference on Learning Representations (ICLR), 2024
Florian Frantzen
Michael T. Schaub
260
0
0
04 Apr 2024
Position: Topological Deep Learning is the New Frontier for Relational
  Learning
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
280
61
0
14 Feb 2024
TopoX: A Suite of Python Packages for Machine Learning on Topological
  Domains
TopoX: A Suite of Python Packages for Machine Learning on Topological Domains
Pavlo Vasylenko
Johan Mathe
Florian Frantzen
Jens Agerberg
Ibrahem AlJabea
...
Maosheng Yang
Olga Zaghen
Ghada Zamzmi
Ali Zia
Nina Miolane
300
23
0
04 Feb 2024
Topo-MLP : A Simplicial Network Without Message Passing
Topo-MLP : A Simplicial Network Without Message Passing
Karthikeyan N. Ramamurthy
Aldo Guzmán-Sáenz
Pavlo Vasylenko
172
9
0
19 Dec 2023
Combinatorial Complexes: Bridging the Gap Between Cell Complexes and
  Hypergraphs
Combinatorial Complexes: Bridging the Gap Between Cell Complexes and HypergraphsAsilomar Conference on Signals, Systems and Computers (ACSSC), 2023
Pavlo Vasylenko
Ghada Zamzmi
Theodore Papamarkou
Aldo Guzmán-Sáenz
Tolga Birdal
Michael T. Schaub
128
11
0
15 Dec 2023
Simplicial Representation Learning with Neural $k$-Forms
Simplicial Representation Learning with Neural kkk-FormsInternational Conference on Learning Representations (ICLR), 2023
Kelly Maggs
Celia Hacker
Bastian Rieck
AI4CE
254
16
0
13 Dec 2023
Disentangling the Spectral Properties of the Hodge Laplacian: Not All
  Small Eigenvalues Are Equal
Disentangling the Spectral Properties of the Hodge Laplacian: Not All Small Eigenvalues Are EqualIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2023
Vincent P. Grande
Michael T. Schaub
176
6
0
24 Nov 2023
Hodge-Compositional Edge Gaussian Processes
Hodge-Compositional Edge Gaussian ProcessesInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2023
Maosheng Yang
Viacheslav Borovitskiy
Elvin Isufi
377
15
0
30 Oct 2023
On the spectrum of the Hodge Laplacian on sequences
On the spectrum of the Hodge Laplacian on sequences
Hannah Santa Cruz Baur
V. Itskov
167
0
0
17 Oct 2023
ICML 2023 Topological Deep Learning Challenge : Design and Results
ICML 2023 Topological Deep Learning Challenge : Design and Results
Johan Mathe
Pavlo Vasylenko
Helen Jenne
Sophia Sanborn
Audun Myers
...
Maosheng Yang
Yixiao Yue
Olga Zaghen
Ali Zia
Nina Miolane
AI4CE
214
5
0
26 Sep 2023
Higher-order Graph Convolutional Network with Flower-Petals Laplacians
  on Simplicial Complexes
Higher-order Graph Convolutional Network with Flower-Petals Laplacians on Simplicial ComplexesAAAI Conference on Artificial Intelligence (AAAI), 2023
Yiming Huang
Yujie Zeng
Qiang Wu
Linyuan Lu
149
26
0
22 Sep 2023
SC-MAD: Mixtures of Higher-order Networks for Data Augmentation
SC-MAD: Mixtures of Higher-order Networks for Data AugmentationIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2023
Madeline Navarro
Santiago Segarra
159
1
0
14 Sep 2023
Hodge-Aware Contrastive Learning
Hodge-Aware Contrastive LearningIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2023
Alexander Mollers
Alexander Immer
Vincent Fortuin
Elvin Isufi
230
1
0
14 Sep 2023
Generalized Simplicial Attention Neural Networks
Generalized Simplicial Attention Neural NetworksIEEE Transactions on Signal and Information Processing over Networks (TSIPN), 2023
Claudio Battiloro
Lucia Testa
Lorenzo Giusti
S. Sardellitti
P. Lorenzo
Sergio Barbarossa
223
32
0
05 Sep 2023
Representing Edge Flows on Graphs via Sparse Cell Complexes
Representing Edge Flows on Graphs via Sparse Cell ComplexesLOG IN (LOG IN), 2023
Josef Hoppe
Michael T. Schaub
244
10
0
04 Sep 2023
Influential Simplices Mining via Simplicial Convolutional Network
Influential Simplices Mining via Simplicial Convolutional NetworkInformation Processing & Management (IPM), 2023
Yujie Zeng
Yiming Huang
Qiang Wu
Linyuan Lu
143
13
0
11 Jul 2023
From Latent Graph to Latent Topology Inference: Differentiable Cell
  Complex Module
From Latent Graph to Latent Topology Inference: Differentiable Cell Complex ModuleInternational Conference on Learning Representations (ICLR), 2023
Claudio Battiloro
Indro Spinelli
Lev Telyatnikov
Michael M. Bronstein
Simone Scardapane
P. Lorenzo
BDL
330
19
0
25 May 2023
NervePool: A Simplicial Pooling Layer
NervePool: A Simplicial Pooling Layer
Sarah McGuire
Ernst Röell
E. Munch
Bastian Rieck
M. Hirn
201
1
0
10 May 2023
Simplicial Hopfield networks
Simplicial Hopfield networksInternational Conference on Learning Representations (ICLR), 2023
Thomas F Burns
T. Fukai
149
19
0
09 May 2023
Hypergraphs with Edge-Dependent Vertex Weights: Spectral Clustering
  based on the 1-Laplacian
Hypergraphs with Edge-Dependent Vertex Weights: Spectral Clustering based on the 1-LaplacianIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2022
Yu Zhu
Boning Li
Santiago Segarra
175
3
0
30 Apr 2023
Architectures of Topological Deep Learning: A Survey of Message-Passing
  Topological Neural Networks
Architectures of Topological Deep Learning: A Survey of Message-Passing Topological Neural Networks
Johan Mathe
Sophia Sanborn
Pavlo Vasylenko
Nina Miolane
3DVAI4CE
393
42
0
20 Apr 2023
Topological Point Cloud Clustering
Topological Point Cloud ClusteringInternational Conference on Machine Learning (ICML), 2023
Vincent P. Grande
Michael T. Schaub
3DPC
213
11
0
29 Mar 2023
Convolutional Learning on Simplicial Complexes
Convolutional Learning on Simplicial Complexes
Maosheng Yang
Elvin Isufi
218
23
0
26 Jan 2023
Dirac signal processing of higher-order topological signals
Dirac signal processing of higher-order topological signalsNew Journal of Physics (NJP), 2023
Lucille Calmon
Michael T. Schaub
G. Bianconi
250
35
0
12 Jan 2023
Graph Filters for Signal Processing and Machine Learning on Graphs
Graph Filters for Signal Processing and Machine Learning on GraphsIEEE Transactions on Signal Processing (IEEE Trans. Signal Process.), 2022
Elvin Isufi
Fernando Gama
D. Shuman
Santiago Segarra
GNN
193
117
0
16 Nov 2022
Stable and Transferable Hyper-Graph Neural Networks
Stable and Transferable Hyper-Graph Neural Networks
Mikhail Hayhoe
Hans Riess
V. Preciado
Alejandro Ribeiro
287
2
0
11 Nov 2022
Cell Attention Networks
Cell Attention NetworksIEEE International Joint Conference on Neural Network (IJCNN), 2022
Lorenzo Giusti
Claudio Battiloro
Lucia Testa
P. Lorenzo
S. Sardellitti
Sergio Barbarossa
3DPCGNN
794
39
0
16 Sep 2022
Probabilistic Symmetry for Multi-Agent Dynamics
Probabilistic Symmetry for Multi-Agent DynamicsConference on Learning for Dynamics & Control (L4DC), 2022
S. Sun
Robin Walters
Jinxi Li
Rose Yu
216
2
0
04 May 2022
Simplicial Attention Networks
Simplicial Attention Networks
Christopher Wei Jin Goh
Cristian Bodnar
Pietro Lio
GNN
242
47
0
20 Apr 2022
Simplicial Attention Neural Networks
Simplicial Attention Neural Networks
L. Giusti
Claudio Battiloro
P. Lorenzo
S. Sardellitti
Sergio Barbarossa
326
35
0
14 Mar 2022
Convolutional Filtering in Simplicial Complexes
Convolutional Filtering in Simplicial ComplexesIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2022
Elvin Isufi
Maosheng Yang
161
18
0
29 Jan 2022
Simplicial Convolutional Filters
Simplicial Convolutional FiltersIEEE Transactions on Signal Processing (IEEE Trans. Signal Process.), 2022
Maosheng Yang
Elvin Isufi
Michael T. Schaub
G. Leus
223
37
0
27 Jan 2022
BScNets: Block Simplicial Complex Neural Networks
BScNets: Block Simplicial Complex Neural Networks
Yuzhou Chen
Yulia R. Gel
H. Vincent Poor
GNN
164
43
0
13 Dec 2021
Outlier Detection for Trajectories via Flow-embeddings
Outlier Detection for Trajectories via Flow-embeddingsAsilomar Conference on Signals, Systems and Computers (ACSSC), 2021
Florian Frantzen
Jean-Baptiste Seby
Michael T. Schaub
125
10
0
25 Nov 2021
Signal Processing on Cell Complexes
Signal Processing on Cell ComplexesIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2021
T. Roddenberry
Michael T. Schaub
Pavlo Vasylenko
193
53
0
11 Oct 2021
12
Next