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

4 October 2018

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

50 / 877 papers shown

Title
BanglaAutoKG: Automatic Bangla Knowledge Graph Construction with Semantic Neural Graph FilteringInternational Conference on Language Resources and Evaluation (LREC), 2024 Azmine Toushik Wasi Taki Hasan Rafi Raima Islam Dong-Kyu Chae 298 7 0 04 Apr 2024
Generalization Bounds for Message Passing Networks on Mixture of Graphons Sohir Maskey Gitta Kutyniok Ron Levie 204 11 0 04 Apr 2024
Learning From Simplicial Data Based on Random Walks and 1D ConvolutionsInternational Conference on Learning Representations (ICLR), 2024 Florian Frantzen Michael T. Schaub 268 0 0 04 Apr 2024
GeoT: Tensor Centric Library for Graph Neural Network via Efficient Segment Reduction on GPU Zhongming Yu Genghan Zhang Hanxian Huang Xin Chen Jishen Zhao GNN 291 0 0 03 Apr 2024
Less Is More -- On the Importance of Sparsification for Transformers and Graph Neural Networks for TSP Attila Lischka Jiaming Wu Rafael Basso M. Chehreghani Balázs Kulcsár 185 5 0 25 Mar 2024
Weisfeiler and Leman Go Loopy: A New Hierarchy for Graph Representational Learning Raffaele Paolino Sohir Maskey Pascal Welke Gitta Kutyniok 231 4 0 20 Mar 2024
Building Optimal Neural Architectures using Interpretable Knowledge Keith G. Mills Fred X. Han Mohammad Salameh Shengyao Lu Chunhua Zhou Jiao He Fengyu Sun Di Niu 151 4 0 20 Mar 2024
Contextualized Messages Boost Graph Representations Brian Godwin Lim Galvin Brice Lim Renzo Roel Tan Kazushi Ikeda AI4CE 484 4 0 19 Mar 2024
Graph Machine Learning based Doubly Robust Estimator for Network Causal Effects Seyedeh Baharan Khatami Harsh Parikh Haowei Chen Sudeepa Roy Babak Salimi OOD 205 3 0 17 Mar 2024
Reproducibility and Geometric Intrinsic Dimensionality: An Investigation on Graph Neural Network Research Tobias Hille Maximilian Stubbemann Tom Hanika AI4CE 216 0 0 13 Mar 2024
Iterative Graph Neural Network Enhancement via Frequent Subgraph Mining of Explanations Harish Naik Jan Polster Raj Shekhar Tamás L. Horváth Gyorgy Turán 175 5 0 12 Mar 2024
Are Targeted Messages More Effective?Logic in Computer Science (LICS), 2024 Martin Grohe Eran Rosenbluth 192 2 0 11 Mar 2024
Revisiting Edge Perturbation for Graph Neural Network in Graph Data Augmentation and AttackIEEE Transactions on Knowledge and Data Engineering (TKDE), 2024 Xin Liu Yuxiang Zhang Meng Wu Yurui Lai Kun He Wei Yan Shirui Pan Xiaochun Ye Xiaochun Ye AAML 234 4 0 10 Mar 2024
Local Vertex Colouring Graph Neural NetworksInternational Conference on Machine Learning (ICML), 2024 Shouheng Li Dongwoo Kim Qing Wang 236 1 0 10 Mar 2024
Unsupervised Graph Neural Architecture Search with Disentangled Self-supervisionNeural Information Processing Systems (NeurIPS), 2024 Zeyang Zhang Xin Eric Wang Ziwei Zhang Guangyao Shen Shiqi Shen Wenwu Zhu 248 19 0 08 Mar 2024
GNN-VPA: A Variance-Preserving Aggregation Strategy for Graph Neural Networks Lisa Schneckenreiter Richard Freinschlag Florian Sestak Johannes Brandstetter Günter Klambauer Andreas Mayr 212 6 0 07 Mar 2024
On the Topology Awareness and Generalization Performance of Graph Neural Networks Junwei Su Chuan Wu AI4CE 328 3 0 07 Mar 2024
Almost Surely Asymptotically Constant Graph Neural Networks Sam Adam-Day Michael Benedikt .Ismail .Ilkan Ceylan Ben Finkelshtein GNN 262 7 0 06 Mar 2024
A case study of sending graph neural networks back to the test bench for applications in high-energy particle physics Emanuel Pfeffer M. Wassmer Yee-Ying Cung R. Wolf U. Husemann 74 1 0 27 Feb 2024
Boosting Graph Pooling with Persistent Homology Chaolong Ying Xinjian Zhao Tianshu Yu GNN AI4CE 260 11 0 26 Feb 2024
Structural Knowledge Informed Continual Multivariate Time Series Forecasting Zijie Pan Yushan Jiang Dongjin Song Sahil Garg Kashif Rasul Anderson Schneider Yuriy Nevmyvaka CLL AI4TS 184 4 0 20 Feb 2024
Graph Pruning for Enumeration of Minimal Unsatisfiable Subsets Panagiotis Lymperopoulos Liping Liu 173 2 0 19 Feb 2024
Class-Balanced and Reinforced Active Learning on Graphs Chengcheng Yu Jiapeng Zhu Xiang Li 324 1 0 15 Feb 2024
Clifford Group Equivariant Simplicial Message Passing Networks Cong Liu David Ruhe Floor Eijkelboom Patrick Forré 433 19 0 15 Feb 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 284 61 0 14 Feb 2024
Graph Mamba: Towards Learning on Graphs with State Space Models Ali Behrouz Farnoosh Hashemi AI4CE 365 112 0 13 Feb 2024
Homomorphism Counts for Graph Neural Networks: All About That Basis Emily Jin Michael M. Bronstein .Ismail .Ilkan Ceylan Matthias Lanzinger 367 20 0 13 Feb 2024
Subgraphormer: Unifying Subgraph GNNs and Graph Transformers via Graph Products Guy Bar-Shalom Beatrice Bevilacqua Haggai Maron AI4CE 270 10 0 13 Feb 2024
Highly Accurate Disease Diagnosis and Highly Reproducible Biomarker Identification with PathFormerResearch Square (RS), 2023 Zehao Dong Qihang Zhao Philip R. O. Payne Michael Province C. Cruchaga Muhan Zhang Tianyu Zhao Yixin Chen Fuhai Li AI4CE 139 8 0 11 Feb 2024
Rethinking the Capacity of Graph Neural Networks for Branching StrategyNeural Information Processing Systems (NeurIPS), 2024 Ziang Chen Jialin Liu Xiaohan Chen Xinshang Wang Wotao Yin 359 9 0 11 Feb 2024
Descriptive Kernel Convolution Network with Improved Random Walk Kernel Meng-Chieh Lee Lingxiao Zhao Leman Akoglu 156 8 0 08 Feb 2024
On the Completeness of Invariant Geometric Deep Learning Models Zian Li Xiyuan Wang Shijia Kang Muhan Zhang 326 7 0 07 Feb 2024
On dimensionality of feature vectors in MPNNsInternational Conference on Machine Learning (ICML), 2024 César Bravo Chris Köcher Cristóbal Rojas 147 8 0 06 Feb 2024
Link Prediction with Relational Hypergraphs Xingyue Huang Miguel Romero Pablo Barceló Michael M. Bronstein .Ismail .Ilkan Ceylan 257 5 0 06 Feb 2024
Graph Neural Machine: A New Model for Learning with Tabular Data Giannis Nikolentzos Siyun Wang J. Lutzeyer Michalis Vazirgiannis 164 3 0 05 Feb 2024
Future Directions in the Theory of Graph Machine Learning Christopher Morris Fabrizio Frasca Nadav Dym Haggai Maron .Ismail .Ilkan Ceylan Ron Levie Derek Lim Michael M. Bronstein Martin Grohe Stefanie Jegelka AI4CE 539 7 0 03 Feb 2024
Graph Transformers without Positional Encodings Ayush Garg 307 3 0 31 Jan 2024
PF-GNN: Differentiable particle filtering based approximation of universal graph representations Mohammed Haroon Dupty Yanfei Dong W. Lee 215 14 0 31 Jan 2024
Graph Contrastive Learning with Cohesive Subgraph Awareness Yucheng Wu Leye Wang Xiao Han Han-Jia Ye 115 13 0 31 Jan 2024
Unveiling Molecular Moieties through Hierarchical Grad-CAM Graph Explainability Salvatore Contino Salvatore Contino Maria Rita Gulotta Ugo Perricone Roberto Pirrone 332 1 0 29 Jan 2024
Neural deformation fields for template-based reconstruction of cortical surfaces from MRI Fabian Bongratz Anne-Marie Rickmann Christian Wachinger 324 17 0 23 Jan 2024
VC dimension of Graph Neural Networks with Pfaffian activation functionsNeural Networks (NN), 2024 Giuseppe Alessio D’Inverno Monica Bianchini F. Scarselli GNN 199 4 0 22 Jan 2024
Towards Principled Graph Transformers Luis Muller Daniel Kusuma Blai Bonet Christopher Morris 361 7 0 18 Jan 2024
GNN-LoFI: a Novel Graph Neural Network through Localized Feature-based Histogram IntersectionPattern Recognition (Pattern Recogn.), 2023 Alessandro Bicciato Luca Cosmo G. Minello Luca Rossi A. Torsello 181 4 0 17 Jan 2024
Graded modal logic and counting message passing automata Veeti Ahvonen Damian Heiman Antti Kuusisto 181 0 0 12 Jan 2024
Machine Learning Insides OptVerse AI Solver: Design Principles and Applications Xijun Li Fangzhou Zhu Hui-Ling Zhen Weilin Luo Meng Lu ... Jia Zeng Mingxuan Yuan Jianye Hao Jun Yao Kun Mao 300 6 0 11 Jan 2024
Graph Q-Learning for Combinatorial Optimization Victoria M. Dax Jiachen Li Kevin Leahy Mykel J. Kochenderfer AI4CE GNN 120 3 0 11 Jan 2024
Explaining the Power of Topological Data Analysis in Graph Machine Learning Funmilola Mary Taiwo Umar Islambekov Cüneyt Gürcan Akçora AI4CE 286 4 0 08 Jan 2024
Machine Learning in Robotic Ultrasound Imaging: Challenges and Perspectives Yuanwei Bi Zhongliang Jiang Felix Duelmer Dianye Huang Nassir Navab 180 38 0 04 Jan 2024
On the Expressive Power of Graph Neural Networks Ashwin Nalwade Kelly Marshall Axel Eladi Umang Sharma 241 0 0 03 Jan 2024