Recent Advances in Hypergraph Neural Networks

11 March 2025

Papers citing "Recent Advances in Hypergraph Neural Networks"

21 / 21 papers shown

Title
SoftHGNN: Soft Hypergraph Neural Networks for General Visual Recognition Mengqi Lei Yihong Wu Siqi Li Xinhu Zheng Juan Wang Yue Gao Shaoyi Du 3DH 59 0 0 21 May 2025
Hypergraph-MLP: Learning on Hypergraphs without Message Passing Bohan Tang Siheng Chen Xiaowen Dong 69 6 0 15 Dec 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 62 10 0 11 Oct 2023
Multi-Modal Hypergraph Diffusion Network with Dual Prior for Alzheimer Classification Angelica I. Aviles-Rivero Christina Runkel Nicolas Papadakis Zoe Kourtzi Carola-Bibiane Schönlieb DiffM MedIm 40 21 0 04 Apr 2022
Adaptive Neural Message Passing for Inductive Learning on Hypergraphs Devanshu Arya D. K. Gupta Stevan Rudinac Marcel Worring 62 13 0 22 Sep 2021
Multimodal Representations Learning and Adversarial Hypergraph Fusion for Early Alzheimer's Disease Prediction Qiankun Zuo Baiying Lei Yanyan Shen Yong Liu Z. Feng Shuqiang Wang 44 48 0 21 Jul 2021
You are AllSet: A Multiset Function Framework for Hypergraph Neural Networks Eli Chien Chao Pan Jianhao Peng O. Milenkovic GNN 87 132 0 24 Jun 2021
A Comprehensive Survey on Community Detection with Deep Learning Xing Su Shan Xue Fanzhen Liu Hongzhi Zhang Jian Yang ... Cécile Paris Surya Nepal Di Jin Quan Z. Sheng Philip S. Yu GNN 49 332 0 26 May 2021
Local Hyper-Flow Diffusion Kimon Fountoulakis Pan Li Shenghao Yang 67 16 0 16 Feb 2021
Score-Based Generative Modeling through Stochastic Differential Equations Yang Song Jascha Narain Sohl-Dickstein Diederik P. Kingma Abhishek Kumar Stefano Ermon Ben Poole DiffM SyDa 305 6,444 0 26 Nov 2020
HyperSAGE: Generalizing Inductive Representation Learning on Hypergraphs Devanshu Arya D. K. Gupta Stevan Rudinac Marcel Worring 52 78 0 09 Oct 2020
Denoising Diffusion Implicit Models Jiaming Song Chenlin Meng Stefano Ermon VLM DiffM 216 7,350 0 06 Oct 2020
HNHN: Hypergraph Networks with Hyperedge Neurons Yihe Dong W. Sawin Yoshua Bengio GNN 47 132 0 22 Jun 2020
Denoising Diffusion Probabilistic Models Jonathan Ho Ajay Jain Pieter Abbeel DiffM 532 18,008 0 19 Jun 2020
Drug Similarity Integration Through Attentive Multi-view Graph Auto-Encoders Tengfei Ma Cao Xiao Jiayu Zhou Fei Wang 41 164 0 28 Apr 2018
GraphVAE: Towards Generation of Small Graphs Using Variational Autoencoders M. Simonovsky N. Komodakis GNN BDL 103 849 0 09 Feb 2018
GraphGAN: Graph Representation Learning with Generative Adversarial Nets Hongwei Wang Jia Wang Jialin Wang Miao Zhao Weinan Zhang Fuzheng Zhang Xing Xie Minyi Guo GNN GAN 77 624 0 22 Nov 2017
Structured Sequence Modeling with Graph Convolutional Recurrent Networks Youngjoo Seo M. Defferrard P. Vandergheynst Xavier Bresson GNN 141 769 0 22 Dec 2016
Variational Graph Auto-Encoders Thomas Kipf Max Welling GNN BDL SSL CML 140 3,584 0 21 Nov 2016
Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering M. Defferrard Xavier Bresson P. Vandergheynst GNN 329 7,648 0 30 Jun 2016
Deep Unsupervised Learning using Nonequilibrium Thermodynamics Jascha Narain Sohl-Dickstein Eric A. Weiss Niru Maheswaranathan Surya Ganguli SyDa DiffM 274 6,925 0 12 Mar 2015