Shortest Path Networks for Graph Property Prediction

2 June 2022

Ralph Abboud

Radoslav Dimitrov

.Ismail .Ilkan Ceylan

GNN

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Papers citing "Shortest Path Networks for Graph Property Prediction"

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Title
BioX-CPath: Biologically-driven Explainable Diagnostics for Multistain IHC Computational Pathology Amaya Gallagher-Syed Henry Senior Omnia Alwazzan Elena Pontarini Michele Bombardieri C. Pitzalis M. Lewis Michael Barnes Luca Rossi Gregory G. Slabaugh 36 0 0 26 Mar 2025
Best of Both Worlds: Advantages of Hybrid Graph Sequence Models Ali Behrouz Ali Parviz Mahdi Karami Clayton Sanford Bryan Perozzi Vahab Mirrokni 79 2 0 23 Nov 2024
Homomorphism Counts as Structural Encodings for Graph Learning Linus Bao Emily Jin Michael M. Bronstein .Ismail .Ilkan Ceylan Matthias Lanzinger 30 1 0 24 Oct 2024
Preventing Representational Rank Collapse in MPNNs by Splitting the Computational Graph Andreas Roth Franka Bause Nils M. Kriege Thomas Liebig 17 2 0 17 Sep 2024
A Unified Framework for Combinatorial Optimization Based on Graph Neural Networks Yaochu Jin Xueming Yan Shiqing Liu Xiangyu Wang 37 3 0 19 Jun 2024
On the Expressive Power of Spectral Invariant Graph Neural Networks Bohang Zhang Lingxiao Zhao Haggai Maron 26 8 0 06 Jun 2024
Probabilistic Graph Rewiring via Virtual Nodes Chendi Qian Andrei Manolache Christopher Morris Mathias Niepert AI4CE 28 1 0 27 May 2024
Weisfeiler and Leman Go Loopy: A New Hierarchy for Graph Representational Learning Raffaele Paolino Sohir Maskey Pascal Welke Gitta Kutyniok 22 2 0 20 Mar 2024
Graph Learning with Distributional Edge Layouts Xinjian Zhao Chaolong Ying Tianshu Yu 23 0 0 26 Feb 2024
Graph Mamba: Towards Learning on Graphs with State Space Models Ali Behrouz Farnoosh Hashemi AI4CE 86 57 0 13 Feb 2024
Homomorphism Counts for Graph Neural Networks: All About That Basis Emily Jin Michael M. Bronstein .Ismail .Ilkan Ceylan Matthias Lanzinger 13 10 0 13 Feb 2024
Adaptive Message Passing: A General Framework to Mitigate Oversmoothing, Oversquashing, and Underreaching Federico Errica Henrik Christiansen Viktor Zaverkin Takashi Maruyama Mathias Niepert Francesco Alesiani 39 6 0 27 Dec 2023
Improving Subgraph-GNNs via Edge-Level Ego-Network Encodings Nurudin Alvarez-Gonzalez Andreas Kaltenbrunner Vicencc Gómez 5 2 0 10 Dec 2023
Recurrent Distance Filtering for Graph Representation Learning Yuhui Ding Antonio Orvieto Bobby He Thomas Hofmann GNN 16 6 0 03 Dec 2023
Over-Squashing in Riemannian Graph Neural Networks Julia Balla 10 0 0 27 Nov 2023
Higher-Order Expander Graph Propagation Thomas Christie Yu He 8 3 0 14 Nov 2023
On the Two Sides of Redundancy in Graph Neural Networks Vidya Sagar Sharma Samir Moustafa Johannes Langguth Wilfried N. Gansterer Nils M. Kriege 13 1 0 06 Oct 2023
Probabilistically Rewired Message-Passing Neural Networks Chendi Qian Andrei Manolache Kareem Ahmed Zhe Zeng Guy Van den Broeck Mathias Niepert Christopher Morris 26 11 0 03 Oct 2023
Locality-Aware Graph-Rewiring in GNNs Federico Barbero A. Velingker Amin Saberi Michael M. Bronstein Francesco Di Giovanni 22 27 0 02 Oct 2023
Cooperative Graph Neural Networks Ben Finkelshtein Xingyue Huang Michael M. Bronstein .Ismail .Ilkan Ceylan GNN 16 19 0 02 Oct 2023
Pure Message Passing Can Estimate Common Neighbor for Link Prediction Kaiwen Dong Zhichun Guo Nitesh V. Chawla 13 7 0 02 Sep 2023
PlanE: Representation Learning over Planar Graphs Radoslav Dimitrov Zeyang Zhao Ralph Abboud .Ismail .Ilkan Ceylan GNN 21 9 0 03 Jul 2023
Diffusion-Jump GNNs: Homophiliation via Learnable Metric Filters Ahmed Begga Francisco Escolano M. Lozano Edwin R. Hancock 10 2 0 29 Jun 2023
Path Neural Networks: Expressive and Accurate Graph Neural Networks Gaspard Michel Giannis Nikolentzos J. Lutzeyer Michalis Vazirgiannis GNN 10 25 0 09 Jun 2023
Union Subgraph Neural Networks Jiaxing Xu Aihu Zhang Qingtian Bian Vijay Prakash Dwivedi Yiping Ke GNN 19 6 0 25 May 2023
DRew: Dynamically Rewired Message Passing with Delay Benjamin Gutteridge Xiaowen Dong Michael M. Bronstein Francesco Di Giovanni 16 39 0 13 May 2023
On Over-Squashing in Message Passing Neural Networks: The Impact of Width, Depth, and Topology Francesco Di Giovanni Lorenzo Giusti Federico Barbero Giulia Luise Pietro Lio' Michael M. Bronstein 31 108 0 06 Feb 2023
SPAGAN: Shortest Path Graph Attention Network Yiding Yang Xinchao Wang Mingli Song Junsong Yuan Dacheng Tao GNN 130 94 0 10 Jan 2021
MoleculeNet: A Benchmark for Molecular Machine Learning Zhenqin Wu Bharath Ramsundar Evan N. Feinberg Joseph Gomes C. Geniesse Aneesh S. Pappu K. Leswing Vijay S. Pande OOD 152 1,748 0 02 Mar 2017
Interaction Networks for Learning about Objects, Relations and Physics Peter W. Battaglia Razvan Pascanu Matthew Lai Danilo Jimenez Rezende Koray Kavukcuoglu AI4CE OCL PINN GNN 252 1,394 0 01 Dec 2016