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 / 808 papers shown

Title
Graph Pruning for Enumeration of Minimal Unsatisfiable Subsets Panagiotis Lymperopoulos Liping Liu 25 0 0 19 Feb 2024
Class-Balanced and Reinforced Active Learning on Graphs Chengcheng Yu Jiapeng Zhu Xiang Li 19 1 0 15 Feb 2024
Clifford Group Equivariant Simplicial Message Passing Networks Cong Liu David Ruhe Floor Eijkelboom Patrick Forré 24 13 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 56 25 0 14 Feb 2024
Graph Mamba: Towards Learning on Graphs with State Space Models Ali Behrouz Farnoosh Hashemi AI4CE 109 58 0 13 Feb 2024
Homomorphism Counts for Graph Neural Networks: All About That Basis Emily Jin Michael M. Bronstein .Ismail .Ilkan Ceylan Matthias Lanzinger 26 10 0 13 Feb 2024
Subgraphormer: Unifying Subgraph GNNs and Graph Transformers via Graph Products Guy Bar-Shalom Beatrice Bevilacqua Haggai Maron AI4CE 33 6 0 13 Feb 2024
Highly Accurate Disease Diagnosis and Highly Reproducible Biomarker Identification with PathFormer Zehao Dong Qihang Zhao Philip R. O. Payne Michael Province C. Cruchaga Muhan Zhang Tianyu Zhao Yixin Chen Fuhai Li AI4CE 21 6 0 11 Feb 2024
Rethinking the Capacity of Graph Neural Networks for Branching Strategy Ziang Chen Jialin Liu Xiaohan Chen Xinshang Wang Wotao Yin 41 3 0 11 Feb 2024
Descriptive Kernel Convolution Network with Improved Random Walk Kernel Meng-Chieh Lee Lingxiao Zhao L. Akoglu 18 3 0 08 Feb 2024
On the Completeness of Invariant Geometric Deep Learning Models Zian Li Xiyuan Wang Shijia Kang Muhan Zhang 33 2 0 07 Feb 2024
Link Prediction with Relational Hypergraphs Xingyue Huang Miguel Romero Pablo Barceló Michael M. Bronstein .Ismail .Ilkan Ceylan 35 2 0 06 Feb 2024
On dimensionality of feature vectors in MPNNs César Bravo A. Kozachinskiy Cristóbal Rojas 21 6 0 06 Feb 2024
Graph Neural Machine: A New Model for Learning with Tabular Data Giannis Nikolentzos Siyun Wang J. Lutzeyer Michalis Vazirgiannis 29 0 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 30 4 0 03 Feb 2024
Graph Transformers without Positional Encodings Ayush Garg 19 0 0 31 Jan 2024
PF-GNN: Differentiable particle filtering based approximation of universal graph representations Mohammed Haroon Dupty Yanfei Dong W. Lee 24 13 0 31 Jan 2024
Graph Contrastive Learning with Cohesive Subgraph Awareness Yucheng Wu Leye Wang Xiao Han Han-Jia Ye 19 3 0 31 Jan 2024
Unveiling Molecular Moieties through Hierarchical Grad-CAM Graph Explainability Paolo Sortino Salvatore Contino Ugo Perricone Roberto Pirrone Roberto Pirrone 24 0 0 29 Jan 2024
Neural deformation fields for template-based reconstruction of cortical surfaces from MRI Fabian Bongratz Anne-Marie Rickmann Christian Wachinger 19 11 0 23 Jan 2024
VC dimension of Graph Neural Networks with Pfaffian activation functions Giuseppe Alessio D’Inverno Monica Bianchini F. Scarselli GNN 21 1 0 22 Jan 2024
Towards Principled Graph Transformers Luis Muller Daniel Kusuma Blai Bonet Christopher Morris 28 3 0 18 Jan 2024
GNN-LoFI: a Novel Graph Neural Network through Localized Feature-based Histogram Intersection Alessandro Bicciato Luca Cosmo G. Minello Luca Rossi A. Torsello 23 2 0 17 Jan 2024
Graded modal logic and counting message passing automata Veeti Ahvonen Damian Heiman Antti Kuusisto 57 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 M. Yuan Jianye Hao Jun Yao Kun Mao 30 1 0 11 Jan 2024
Graph Q-Learning for Combinatorial Optimization Victoria M. Dax Jiachen Li Kevin Leahy Mykel J. Kochenderfer AI4CE GNN 30 2 0 11 Jan 2024
Explaining the Power of Topological Data Analysis in Graph Machine Learning Funmilola Mary Taiwo Umar Islambekov Cüneyt Gürcan Akçora AI4CE 29 3 0 08 Jan 2024
Machine Learning in Robotic Ultrasound Imaging: Challenges and Perspectives Yuanwei Bi Zhongliang Jiang Felix Duelmer Dianye Huang Nassir Navab 36 18 0 04 Jan 2024
On the Expressive Power of Graph Neural Networks Ashwin Nalwade Kelly Marshall Axel Eladi Umang Sharma 19 0 0 03 Jan 2024
Joint Generative Modeling of Scene Graphs and Images via Diffusion Models Bicheng Xu Qi Yan Renjie Liao Lele Wang Leonid Sigal DiffM 29 2 0 02 Jan 2024
Strong Transitivity Relations and Graph Neural Networks Yassin Mohamadi M. H. Chehreghani GNN 21 2 0 01 Jan 2024
MotifPiece: A Data-Driven Approach for Effective Motif Extraction and Molecular Representation Learning Zhaoning Yu Hongyang Gao 16 1 0 24 Dec 2023
Multi-Agent Reinforcement Learning for Assessing False-Data Injection Attacks on Transportation Networks Taha Eghtesad Sirui Li Yevgeniy Vorobeychik Aron Laszka 8 1 0 22 Dec 2023
Topo-MLP : A Simplicial Network Without Message Passing K. Ramamurthy Aldo Guzmán-Sáenz Mustafa Hajij 51 8 0 19 Dec 2023
Graph Transformers for Large Graphs Vijay Prakash Dwivedi Yozen Liu A. Luu Xavier Bresson Neil Shah Tong Zhao GNN 21 7 0 18 Dec 2023
Concept Prerequisite Relation Prediction by Using Permutation-Equivariant Directed Graph Neural Networks Xiran Qu Xuequn Shang Yupei Zhang 16 2 0 15 Dec 2023
Graph Neural Networks with Diverse Spectral Filtering Jingwei Guo Kaizhu Huang Xinping Yi Rui Zhang 56 12 0 14 Dec 2023
HyPE-GT: where Graph Transformers meet Hyperbolic Positional Encodings Kushal Bose Swagatam Das 30 0 0 11 Dec 2023
Improving Subgraph-GNNs via Edge-Level Ego-Network Encodings Nurudin Alvarez-Gonzalez Andreas Kaltenbrunner Vicencc Gómez 14 2 0 10 Dec 2023
Isomorphic-Consistent Variational Graph Auto-Encoders for Multi-Level Graph Representation Learning Hanxuan Yang Qingchao Kong Wenji Mao BDL 13 0 0 09 Dec 2023
What Planning Problems Can A Relational Neural Network Solve? Jiayuan Mao Tomás Lozano-Pérez Joshua B. Tenenbaum L. Kaelbling 15 7 0 06 Dec 2023
PACE: A Program Analysis Framework for Continuous Performance Prediction Chidera Biringa Gökhan Kul 19 1 0 01 Dec 2023
HOT: Higher-Order Dynamic Graph Representation Learning with Efficient Transformers Maciej Besta Afonso Claudino Catarino Lukas Gianinazzi Nils Blach Piotr Nyczyk H. Niewiadomski Torsten Hoefler 30 6 0 30 Nov 2023
Propagate & Distill: Towards Effective Graph Learners Using Propagation-Embracing MLPs Yong-Min Shin Won-Yong Shin 21 1 0 29 Nov 2023
PyTorch Geometric High Order: A Unified Library for High Order Graph Neural Network Xiyuan Wang Muhan Zhang AI4CE 13 3 0 28 Nov 2023
GeoScaler: Geometry and Rendering-Aware Downsampling of 3D Mesh Textures Sai Karthikey Pentapati Anshul Rai Arkady Ten Chaitanya Atluru Alan Bovik 13 2 0 28 Nov 2023
Multi-Agent Reinforcement Learning for Power Control in Wireless Networks via Adaptive Graphs Lorenzo Mario Amorosa Marco Skocaj Roberto Verdone Deniz Gündüz AI4CE 21 1 0 27 Nov 2023
Effective Structural Encodings via Local Curvature Profiles Lukas Fesser Melanie Weber 21 3 0 24 Nov 2023
Cycle Invariant Positional Encoding for Graph Representation Learning Zuoyu Yan Teng Ma Liangcai Gao Zhi Tang Chao Chen Yusu Wang 34 4 0 24 Nov 2023
Self-Supervised Pretraining for Heterogeneous Hypergraph Neural Networks Abdalgader Abubaker Takanori Maehara M. Nimishakavi Vassilis Plachouras SSL 45 0 0 19 Nov 2023