HyperSAGE: Generalizing Inductive Representation Learning on Hypergraphs

9 October 2020

Papers citing "HyperSAGE: Generalizing Inductive Representation Learning on Hypergraphs"

8 / 8 papers shown

Title
Self-Explaining Hypergraph Neural Networks for Diagnosis Prediction Leisheng Yu Yanxiao Cai Minxing Zhang Xia Hu FAtt 118 0 0 15 Feb 2025
Hypergraph Neural Networks through the Lens of Message Passing: A Common Perspective to Homophily and Architecture Design Lev Telyatnikov Maria Sofia Bucarelli Guillermo Bernardez Olga Zaghen Simone Scardapane Pietro Lió 33 10 0 11 Oct 2023
Supervised Hypergraph Reconstruction Yanbang Wang Jon M. Kleinberg 11 2 0 23 Nov 2022
Evaluating Distribution System Reliability with Hyperstructures Graph Convolutional Nets Yuzhou Chen Tian Jiang M. Heleno Alexandre Moreira Yulia R. Gel GNN AI4CE 26 3 0 14 Nov 2022
Augmentations in Hypergraph Contrastive Learning: Fabricated and Generative Tianxin Wei Yuning You Tianlong Chen Yang Shen Jingrui He Zhangyang Wang 22 45 0 07 Oct 2022
I'm Me, We're Us, and I'm Us: Tri-directional Contrastive Learning on Hypergraphs Dongjin Lee Kijung Shin 27 36 0 09 Jun 2022
Principled Hyperedge Prediction with Structural Spectral Features and Neural Networks Changlin Wan Muhan Zhang Weiyu Hao Sha Cao Pan Li Chi Zhang 21 15 0 08 Jun 2021
Geometric deep learning: going beyond Euclidean data M. Bronstein Joan Bruna Yann LeCun Arthur Szlam P. Vandergheynst GNN 236 3,234 0 24 Nov 2016