Path Neural Networks: Expressive and Accurate Graph Neural Networks

9 June 2023

Gaspard Michel

Giannis Nikolentzos

J. Lutzeyer

Michalis Vazirgiannis

GNN

ArXiv PDF HTML

Papers citing "Path Neural Networks: Expressive and Accurate Graph Neural Networks"

21 / 21 papers shown

Title
NeuroTree: Hierarchical Functional Brain Pathway Decoding for Mental Health Disorders Jun-En Ding Dongsheng Luo Anna Zilverstand Feng Liu 47 0 0 26 Feb 2025
Graph Self-Supervised Learning with Learnable Structural and Positional Encodings Asiri Wijesinghe Hao Zhu Piotr Koniusz 38 0 0 22 Feb 2025
Simple Path Structural Encoding for Graph Transformers Louis Airale Antonio Longa Mattia Rigon Andrea Passerini Roberto Passerone 90 0 0 13 Feb 2025
No Metric to Rule Them All: Toward Principled Evaluations of Graph-Learning Datasets Corinna Coupette Jeremy Wayland Emily Simons Bastian Alexander Rieck 68 1 0 04 Feb 2025
Finding path and cycle counting formulae in graphs with Deep Reinforcement Learning Jason Piquenot Maxime Bérar Pierre Héroux Jean-Yves Ramel R. Raveaux Sébastien Adam 16 0 0 02 Oct 2024
NeuroPath: A Neural Pathway Transformer for Joining the Dots of Human Connectomes Ziquan Wei Tingting Dan Jiaqi Ding Guorong Wu MedIm 31 0 0 26 Sep 2024
Scalable Graph Compressed Convolutions Junshu Sun Chen Yang Shuhui Wang Qingming Huang GNN 31 0 0 26 Jul 2024
Learning Long Range Dependencies on Graphs via Random Walks Dexiong Chen Till Hendrik Schulz Karsten Borgwardt 24 2 0 05 Jun 2024
Spatio-Spectral Graph Neural Networks Simon Geisler Arthur Kosmala Daniel Herbst Stephan Günnemann 42 7 0 29 May 2024
Weisfeiler and Leman Go Loopy: A New Hierarchy for Graph Representational Learning Raffaele Paolino Sohir Maskey Pascal Welke Gitta Kutyniok 25 2 0 20 Mar 2024
Message Detouring: A Simple Yet Effective Cycle Representation for Expressive Graph Learning Ziquan Wei Tingting Dan Guorong Wu 19 0 0 12 Feb 2024
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 27 6 0 03 Dec 2023
Non-backtracking Graph Neural Networks Seonghyun Park Narae Ryu Ga-Rin Kim Dongyeop Woo Se-Young Yun Sungsoo Ahn 22 4 0 11 Oct 2023
On the Two Sides of Redundancy in Graph Neural Networks Vidya Sagar Sharma Samir Moustafa Johannes Langguth Wilfried N. Gansterer Nils M. Kriege 16 1 0 06 Oct 2023
Geodesic Graph Neural Network for Efficient Graph Representation Learning Lecheng Kong Yixin Chen Muhan Zhang GNN AI4CE 83 21 0 06 Oct 2022
Reconstruction for Powerful Graph Representations Leonardo Cotta Christopher Morris Bruno Ribeiro AI4CE 117 78 0 01 Oct 2021
Walking Out of the Weisfeiler Leman Hierarchy: Graph Learning Beyond Message Passing Jan Toenshoff Martin Ritzert Hinrikus Wolf Martin Grohe GNN 73 21 0 17 Feb 2021
Benchmarking Graph Neural Networks Vijay Prakash Dwivedi Chaitanya K. Joshi Anh Tuan Luu T. Laurent Yoshua Bengio Xavier Bresson 178 907 0 02 Mar 2020
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 154 1,748 0 02 Mar 2017
Geometric deep learning on graphs and manifolds using mixture model CNNs Federico Monti Davide Boscaini Jonathan Masci Emanuele Rodolà Jan Svoboda M. Bronstein GNN 234 1,801 0 25 Nov 2016