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

© 2026 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2103.03212
  4. Cited By
Weisfeiler and Lehman Go Topological: Message Passing Simplicial
  Networks
v1v2 (latest)

Weisfeiler and Lehman Go Topological: Message Passing Simplicial Networks

International Conference on Machine Learning (ICML), 2021
4 March 2021
Cristian Bodnar
Fabrizio Frasca
Yu Guang Wang
N. Otter
Guido Montúfar
Pietro Lio
M. Bronstein
ArXiv (abs)PDFHTML

Papers citing "Weisfeiler and Lehman Go Topological: Message Passing Simplicial Networks"

50 / 171 papers shown
Categorical Equivariant Deep Learning: Category-Equivariant Neural Networks and Universal Approximation Theorems
Categorical Equivariant Deep Learning: Category-Equivariant Neural Networks and Universal Approximation Theorems
Yoshihiro Maruyama
254
0
0
24 Dec 2025
Multi-Scale Harmonic Encoding for Feature-Wise Graph Message Passing
Multi-Scale Harmonic Encoding for Feature-Wise Graph Message Passing
Longlong Li
Cunquan Qu
Guanghui Wang
Cunquan Qu
393
0
0
24 Dec 2025
HTG-GCL: Leveraging Hierarchical Topological Granularity from Cellular Complexes for Graph Contrastive Learning
HTG-GCL: Leveraging Hierarchical Topological Granularity from Cellular Complexes for Graph Contrastive Learning
Qirui Ji
Bin Qin
Yifan Jin
Yunze Zhao
Chuxiong Sun
Changwen Zheng
Jianwen Cao
Jiangmeng Li
117
0
0
30 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
167
0
0
16 Nov 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
362
0
0
11 Oct 2025
MonSTeR: a Unified Model for Motion, Scene, Text Retrieval
MonSTeR: a Unified Model for Motion, Scene, Text Retrieval
Luca Collorone
Matteo Gioia
Massimiliano Pappa
Paolo Leoni
Giovanni Ficarra
Or Litany
Indro Spinelli
Fabio Galasso
270
0
0
03 Oct 2025
What Expressivity Theory Misses: Message Passing Complexity for GNNs
What Expressivity Theory Misses: Message Passing Complexity for GNNs
Niklas Kemper
Tom Wollschlager
Stephan Günnemann
251
0
0
01 Sep 2025
Over-Squashing in GNNs and Causal Inference of Rewiring Strategies
Over-Squashing in GNNs and Causal Inference of Rewiring Strategies
Danial Saber
Amirali Salehi-Abari
159
1
0
12 Aug 2025
Topological Feature Compression for Molecular Graph Neural Networks
Topological Feature Compression for Molecular Graph Neural Networks
Rahul Khorana
AI4CE
291
0
0
11 Aug 2025
Caterpillar GNN: Replacing Message Passing with Efficient Aggregation
Caterpillar GNN: Replacing Message Passing with Efficient Aggregation
Marek Černý
217
2
0
07 Jun 2025
HLSAD: Hodge Laplacian-based Simplicial Anomaly Detection
HLSAD: Hodge Laplacian-based Simplicial Anomaly DetectionKnowledge Discovery and Data Mining (KDD), 2025
Florian Frantzen
Michael T. Schaub
288
1
0
30 May 2025
Topological Adaptive Least Mean Squares Algorithms over Simplicial Complexes
Topological Adaptive Least Mean Squares Algorithms over Simplicial Complexes
Lorenzo Marinucci
Claudio Battiloro
Paolo Di Lorenzo
297
3
0
29 May 2025
Copresheaf Topological Neural Networks: A Generalized Deep Learning Framework
Copresheaf Topological Neural Networks: A Generalized Deep Learning Framework
Pavlo Vasylenko
Lennart Bastian
Sarah Osentoski
Hardik Kabaria
John L. Davenport
...
Joseph G. Kocheemoolayil
Nastaran Shahmansouri
Adrian Lew
Theodore Papamarkou
Tolga Birdal
418
5
0
27 May 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
253
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
475
2
0
23 May 2025
Quotient Complex Transformer (QCformer) for Perovskite Data Analysis
Quotient Complex Transformer (QCformer) for Perovskite Data Analysis
Xinyu You
Xiang Liu
Chuan-Shen Hu
Kelin Xia
Tze Chien Sum
233
0
0
14 May 2025
Hypergraph Neural Sheaf Diffusion: A Symmetric Simplicial Set Framework for Higher-Order Learning
Hypergraph Neural Sheaf Diffusion: A Symmetric Simplicial Set Framework for Higher-Order LearningIEEE Access (IEEE Access), 2025
Seongjin Choi
Gahee Kim
Yong-Geun Oh
374
2
0
09 May 2025
Plain Transformers Can be Powerful Graph Learners
Plain Transformers Can be Powerful Graph Learners
Liheng Ma
Soumyasundar Pal
Yingxue Zhang
Juil Sock
Mark Coates
534
0
0
17 Apr 2025
Continuous Simplicial Neural Networks
Continuous Simplicial Neural Networks
Aref Einizade
Dorina Thanou
Fragkiskos D. Malliaros
Jhony H. Giraldo
AI4CE
510
3
0
17 Mar 2025
Topological Dictionary Learning
Topological Dictionary Learning
Enrico Grimaldi
Claudio Battiloro
Paolo Di Lorenzo
154
3
0
14 Mar 2025
Graph Self-Supervised Learning with Learnable Structural and Positional Encodings
Graph Self-Supervised Learning with Learnable Structural and Positional EncodingsThe Web Conference (WWW), 2025
Asiri Wijesinghe
Hao Zhu
Piotr Koniusz
431
3
0
22 Feb 2025
Topological Neural Networks over the Air
Topological Neural Networks over the AirIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2024
Simone Fiorellino
Claudio Battiloro
Paolo Di Lorenzo
290
3
0
17 Feb 2025
Higher-Order Topological Directionality and Directed Simplicial Neural Networks
Higher-Order Topological Directionality and Directed Simplicial Neural NetworksIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2024
Manuel Lecha
Andrea Cavallo
Francesca Dominici
Elvin Isufi
Claudio Battiloro
AI4CE
577
7
0
17 Jan 2025
Enhancing Graph Representation Learning with Localized Topological Features
Enhancing Graph Representation Learning with Localized Topological Features
Zuoyu Yan
Qi Zhao
Ze Ye
Tengfei Ma
Liangcai Gao
Zhi Tang
Yusu Wang
Chao Chen
285
5
0
17 Jan 2025
Balancing Efficiency and Expressiveness: Subgraph GNNs with Walk-Based Centrality
Balancing Efficiency and Expressiveness: Subgraph GNNs with Walk-Based Centrality
Joshua Southern
Yam Eitan
Guy Bar-Shalom
Michael M. Bronstein
Haggai Maron
Fabrizio Frasca
420
5
0
06 Jan 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
272
8
0
06 Dec 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
467
3
0
22 Oct 2024
Conditional Uncertainty Quantification for Tensorized Topological Neural
  Networks
Conditional Uncertainty Quantification for Tensorized Topological Neural Networks
Yujia Wu
Bo Yang
Yang Zhao
Elynn Chen
Yuzhou Chen
Zheshi Zheng
263
3
0
20 Oct 2024
Bayesian Sheaf Neural Networks
Bayesian Sheaf Neural Networks
Patrick Gillespie
Vasileios Maroulas
Ioannis Schizas
D. Boothe
Vasileios Maroulas
344
4
0
12 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
769
12
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
288
5
0
07 Oct 2024
Diss-l-ECT: Dissecting Graph Data with Local Euler Characteristic Transforms
Diss-l-ECT: Dissecting Graph Data with Local Euler Characteristic Transforms
Julius von Rohrscheidt
Bastian Rieck
457
3
0
03 Oct 2024
MANTRA: The Manifold Triangulations Assemblage
MANTRA: The Manifold Triangulations AssemblageInternational Conference on Learning Representations (ICLR), 2024
Rubén Ballester
Ernst Röell
Daniel Bin Schmid
Mathieu Alain
Sergio Escalera
Carles Casacuberta
Bastian Rieck
564
8
0
03 Oct 2024
Range-aware Positional Encoding via High-order Pretraining: Theory and
  Practice
Range-aware Positional Encoding via High-order Pretraining: Theory and Practice
Viet Anh Nguyen
Nhat-Khang Ngô
Truong-Son Hy
AI4CE
245
1
0
27 Sep 2024
Higher-Order Message Passing for Glycan Representation Learning
Higher-Order Message Passing for Glycan Representation Learning
Roman Joeres
Daniel Bojar
451
4
0
20 Sep 2024
CW-CNN & CW-AN: Convolutional Networks and Attention Networks for
  CW-Complexes
CW-CNN & CW-AN: Convolutional Networks and Attention Networks for CW-Complexes
Rahul Khorana
360
1
0
29 Aug 2024
Dirac--Bianconi Graph Neural Networks -- Enabling Non-Diffusive
  Long-Range Graph Predictions
Dirac--Bianconi Graph Neural Networks -- Enabling Non-Diffusive Long-Range Graph Predictions
Christian Nauck
R. Gorantla
M. Lindner
Konstantin Schurholt
Antonia S. J. S. Mey
Frank Hellmann
AI4CE
333
2
0
17 Jul 2024
Beyond Euclid: An Illustrated Guide to Modern Machine Learning with Geometric, Topological, and Algebraic Structures
Beyond Euclid: An Illustrated Guide to Modern Machine Learning with Geometric, Topological, and Algebraic Structures
Sophia Sanborn
Sophia Sanborn
Johan Mathe
Louisa Cornelis
Abby Bertics
...
Hansen Lillemark
Christian Shewmake
Fatih Dinc
Xavier Pennec
Nina Miolane
415
20
0
12 Jul 2024
Foundations and Frontiers of Graph Learning Theory
Foundations and Frontiers of Graph Learning Theory
Yu Huang
Min Zhou
Menglin Yang
Zhen Wang
Muhan Zhang
Jie Wang
Hong Xie
Hao Wang
Defu Lian
Enhong Chen
AI4CEGNN
522
6
0
03 Jul 2024
Inference of Sequential Patterns for Neural Message Passing in Temporal
  Graphs
Inference of Sequential Patterns for Neural Message Passing in Temporal Graphs
J. V. Pichowski
Vincenzo Perri
Lisi Qarkaxhija
Ingo Scholtes
302
0
0
24 Jun 2024
Demystifying Higher-Order Graph Neural Networks
Demystifying Higher-Order Graph Neural NetworksIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2024
Maciej Besta
Florian Scheidl
Lukas Gianinazzi
Grzegorz Kwa'sniewski
S. Klaiman
Jürgen Müller
Torsten Hoefler
594
7
0
18 Jun 2024
Topological Neural Networks go Persistent, Equivariant, and Continuous
Topological Neural Networks go Persistent, Equivariant, and Continuous
Yogesh Verma
Amauri H Souza
Vikas Garg
AI4CE
220
12
0
05 Jun 2024
E(n) Equivariant Message Passing Cellular Networks
E(n) Equivariant Message Passing Cellular Networks
Veljko Kovač
Erik J. Bekkers
Pietro Lio
Floor Eijkelboom
303
3
0
05 Jun 2024
Occlusion Handling in 3D Human Pose Estimation with Perturbed Positional
  Encoding
Occlusion Handling in 3D Human Pose Estimation with Perturbed Positional Encoding
Niloofar Azizi
Mohsen Fayyaz
Horst Bischof
377
3
0
27 May 2024
Probabilistic Graph Rewiring via Virtual Nodes
Probabilistic Graph Rewiring via Virtual Nodes
Chendi Qian
Andrei Manolache
Christopher Morris
Mathias Niepert
AI4CE
433
14
0
27 May 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
780
20
0
24 May 2024
Binarized Simplicial Convolutional Neural Networks
Binarized Simplicial Convolutional Neural Networks
Yi Yan
E. Kuruoglu
277
18
0
07 May 2024
CKGConv: General Graph Convolution with Continuous Kernels
CKGConv: General Graph Convolution with Continuous Kernels
Liheng Ma
Soumyasundar Pal
Yitian Zhang
Jiaming Zhou
Yingxue Zhang
Mark Coates
254
10
0
21 Apr 2024
GRANOLA: Adaptive Normalization for Graph Neural Networks
GRANOLA: Adaptive Normalization for Graph Neural Networks
Moshe Eliasof
Beatrice Bevilacqua
Carola-Bibiane Schönlieb
Haggai Maron
356
8
0
20 Apr 2024
Spectral Graph Pruning Against Over-Squashing and Over-Smoothing
Spectral Graph Pruning Against Over-Squashing and Over-Smoothing
Adarsh Jamadandi
Celia Rubio-Madrigal
R. Burkholz
427
20
0
06 Apr 2024
1234
Next
Page 1 of 4