Graph Positional Encoding via Random Feature Propagation

6 March 2023

Papers citing "Graph Positional Encoding via Random Feature Propagation"

22 / 22 papers shown

Title
Schreier-Coset Graph Propagation Aryan Mishra Lizhen Lin 32 0 0 15 May 2025
Improving Equivariant Networks with Probabilistic Symmetry Breaking Hannah Lawrence Vasco Portilheiro Yan Zhang Sékou-Oumar Kaba 44 3 0 27 Mar 2025
Towards Invariance to Node Identifiers in Graph Neural Networks Maya Bechler-Speicher Moshe Eliasof Carola-Bibiane Schönlieb Ran Gilad-Bachrach Amir Globerson 65 1 0 20 Feb 2025
Learning Efficient Positional Encodings with Graph Neural Networks Charilaos I. Kanatsoulis Evelyn Choi Stephanie Jegelka Jure Leskovec Alejandro Ribeiro 64 1 0 03 Feb 2025
LASE: Learned Adjacency Spectral Embeddings Sofía Pérez Casulo Marcelo Fiori Federico Larroca Gonzalo Mateos AI4TS GNN 38 0 0 23 Dec 2024
Towards Graph Foundation Models: A Study on the Generalization of Positional and Structural Encodings Billy Joe Franks Moshe Eliasof Semih Cantürk Guy Wolf Carola-Bibiane Schönlieb Sophie Fellenz Marius Kloft AI4CE 83 0 0 10 Dec 2024
On the Utilization of Unique Node Identifiers in Graph Neural Networks Maya Bechler-Speicher Moshe Eliasof Carola-Bibiane Schönlieb Ran Gilad-Bachrach Amir Globerson 35 0 0 04 Nov 2024
Graph Transformers Dream of Electric Flow Xiang Cheng Lawrence Carin S. Sra 33 0 0 22 Oct 2024
Enhancing High-order Interaction Awareness in LLM-based Recommender Model Xinfeng Wang Jin Cui Fumiyo Fukumoto Yoshimi Suzuki 30 3 0 30 Sep 2024
DiGRAF: Diffeomorphic Graph-Adaptive Activation Function Krishna Sri Ipsit Mantri Xinzhi Wang Carola-Bibiane Schönlieb Bruno Ribeiro Beatrice Bevilacqua Moshe Eliasof GNN 49 1 0 02 Jul 2024
Refined Graph Encoder Embedding via Self-Training and Latent Community Recovery Cencheng Shen Jonathan Larson Ha Trinh Carey E. Priebe 48 2 0 21 May 2024
GRANOLA: Adaptive Normalization for Graph Neural Networks Moshe Eliasof Beatrice Bevilacqua Carola-Bibiane Schönlieb Haggai Maron 33 5 0 20 Apr 2024
GraphMaker: Can Diffusion Models Generate Large Attributed Graphs? Mufei Li Eleonora Kreacic Vamsi K. Potluru Pan Li DiffM 42 7 0 20 Oct 2023
On the Stability of Expressive Positional Encodings for Graphs Yinan Huang William Lu Joshua Robinson Yu Yang Muhan Zhang Stefanie Jegelka Pan Li 37 9 0 04 Oct 2023
Generalized Laplacian Positional Encoding for Graph Representation Learning Sohir Maskey Alipanah Parviz Maximilian Thiessen Hannes Stärk Ylli Sadikaj Haggai Maron AI4CE 36 16 0 28 Oct 2022
Gradient Gating for Deep Multi-Rate Learning on Graphs T. Konstantin Rusch B. Chamberlain Michael W. Mahoney Michael M. Bronstein Siddhartha Mishra 79 53 0 02 Oct 2022
A Theoretical Comparison of Graph Neural Network Extensions Pál András Papp Roger Wattenhofer 103 46 0 30 Jan 2022
Graph Neural Networks with Learnable Structural and Positional Representations Vijay Prakash Dwivedi A. Luu T. Laurent Yoshua Bengio Xavier Bresson GNN 197 309 0 15 Oct 2021
Reconstruction for Powerful Graph Representations Leonardo Cotta Christopher Morris Bruno Ribeiro AI4CE 130 78 0 01 Oct 2021
Benchmarking Graph Neural Networks Vijay Prakash Dwivedi Chaitanya K. Joshi Anh Tuan Luu T. Laurent Yoshua Bengio Xavier Bresson 189 916 0 02 Mar 2020
Geom-GCN: Geometric Graph Convolutional Networks Hongbin Pei Bingzhen Wei Kevin Chen-Chuan Chang Yu Lei Bo Yang GNN 169 1,078 0 13 Feb 2020
Multi-scale Attributed Node Embedding Benedek Rozemberczki Carl Allen Rik Sarkar GNN 148 837 0 28 Sep 2019