UniGNN: a Unified Framework for Graph and Hypergraph Neural Networks

3 May 2021

Papers citing "UniGNN: a Unified Framework for Graph and Hypergraph Neural Networks"

24 / 24 papers shown

Title
MARIOH: Multiplicity-Aware Hypergraph Reconstruction Kyuhan Lee Geon Lee Kijung Shin 54 0 0 01 Apr 2025
Self-Explaining Hypergraph Neural Networks for Diagnosis Prediction Leisheng Yu Yanxiao Cai Minxing Zhang Xia Hu FAtt 243 0 0 15 Feb 2025
Enhancing the Utility of Higher-Order Information in Relational Learning Raphael Pellegrin Lukas Fesser Melanie Weber 100 0 0 13 Feb 2025
Adaptive Hypergraph Network for Trust Prediction Rongwei Xu Guanfeng Liu Yan Wang Xuyun Zhang Kai Zheng Xiaofang Zhou 26 1 0 07 Feb 2024
LightHGNN: Distilling Hypergraph Neural Networks into MLPs for $100\times$ Faster Inference Yifan Feng Yihe Luo Shihui Ying Yue Gao BDL 37 2 0 06 Feb 2024
Hypergraph-MLP: Learning on Hypergraphs without Message Passing Bohan Tang Siheng Chen Xiaowen Dong 36 5 0 15 Dec 2023
Self-Supervised Pretraining for Heterogeneous Hypergraph Neural Networks Abdalgader Abubaker Takanori Maehara M. Nimishakavi Vassilis Plachouras SSL 45 0 0 19 Nov 2023
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 Lio 35 10 0 11 Oct 2023
Sheaf Hypergraph Networks Iulia Duta Giulia Cassara Fabrizio Silvestri Pietro Lio 27 18 0 29 Sep 2023
Prototype-Enhanced Hypergraph Learning for Heterogeneous Information Networks Shuai Wang Jiayi Shen Athanasios Efthymiou S. Rudinac Monika Kackovic N. Wijnberg M. Worring 23 0 0 22 Sep 2023
Hypergraph Structure Inference From Data Under Smoothness Prior Bohan Tang Siheng Chen Xiaowen Dong 41 5 0 27 Aug 2023
Heterogeneous Directed Hypergraph Neural Network over abstract syntax tree (AST) for Code Classification Guang Yang Tiancheng Jin Liang Dou 30 2 0 07 May 2023
A Hypergraph Neural Network Framework for Learning Hyperedge-Dependent Node Embeddings Ryan Aponte Ryan A. Rossi Shunan Guo Jane Hoffswell Nedim Lipka Chang Xiao G. Chan E. Koh Nesreen Ahmed GNN 42 11 0 28 Dec 2022
Evaluating Distribution System Reliability with Hyperstructures Graph Convolutional Nets Yuzhou Chen Tian Jiang M. Heleno Alexandre Moreira Yulia R. Gel GNN AI4CE 31 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 41 45 0 07 Oct 2022
De Bruijn goes Neural: Causality-Aware Graph Neural Networks for Time Series Data on Dynamic Graphs Lisi Qarkaxhija Vincenzo Perri Ingo Scholtes CML AI4CE 24 6 0 17 Sep 2022
Expectation-Maximizing Network Reconstruction and MostApplicable Network Types Based on Binary Time Series Data Kaiwei Liu Xin Lv Fei Gao Jiang Zhang 35 41 0 01 Sep 2022
I'm Me, We're Us, and I'm Us: Tri-directional Contrastive Learning on Hypergraphs Dongjin Lee Kijung Shin 38 37 0 09 Jun 2022
Hypergraph Convolutional Networks via Equivalency between Hypergraphs and Undirected Graphs Jiying Zhang Fuyang Li Xi Xiao Tingyang Xu Yu Rong Junzhou Huang Yatao Bian GNN 18 24 0 31 Mar 2022
Message passing all the way up Petar Velickovic 121 64 0 22 Feb 2022
HEAT: Hyperedge Attention Networks Dobrik Georgiev Marc Brockschmidt Miltiadis Allamanis GNN 32 16 0 28 Jan 2022
You are AllSet: A Multiset Function Framework for Hypergraph Neural Networks Eli Chien Chao Pan Jianhao Peng O. Milenkovic GNN 49 129 0 24 Jun 2021
Learnable Hypergraph Laplacian for Hypergraph Learning Jiying Zhang Yuzhao Chen Xiong Xiao Runiu Lu Shutao Xia 42 28 0 10 Jun 2021
Representation Learning on Graphs with Jumping Knowledge Networks Keyulu Xu Chengtao Li Yonglong Tian Tomohiro Sonobe Ken-ichi Kawarabayashi Stefanie Jegelka GNN 279 1,948 0 09 Jun 2018