ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2106.13264
  4. Cited By
You are AllSet: A Multiset Function Framework for Hypergraph Neural
  Networks

You are AllSet: A Multiset Function Framework for Hypergraph Neural Networks

24 June 2021
Eli Chien
Chao Pan
Jianhao Peng
O. Milenkovic
    GNN
ArXivPDFHTML

Papers citing "You are AllSet: A Multiset Function Framework for Hypergraph Neural Networks"

26 / 26 papers shown
Title
Hypergraph Neural Sheaf Diffusion: A Symmetric Simplicial Set Framework for Higher-Order Learning
Hypergraph Neural Sheaf Diffusion: A Symmetric Simplicial Set Framework for Higher-Order Learning
Seongjin Choi
Gahee Kim
Yong-Geun Oh
26
0
0
09 May 2025
MARIOH: Multiplicity-Aware Hypergraph Reconstruction
MARIOH: Multiplicity-Aware Hypergraph Reconstruction
Kyuhan Lee
Geon Lee
Kijung Shin
51
0
0
01 Apr 2025
Enhancing Job Salary Prediction with Disentangled Composition Effect Modeling: A Neural Prototyping Approach
Enhancing Job Salary Prediction with Disentangled Composition Effect Modeling: A Neural Prototyping Approach
Yang Ji
Ying Sun
Hengshu Zhu
46
1
0
17 Mar 2025
Self-Explaining Hypergraph Neural Networks for Diagnosis Prediction
Self-Explaining Hypergraph Neural Networks for Diagnosis Prediction
Leisheng Yu
Yanxiao Cai
Minxing Zhang
Xia Hu
FAtt
171
0
0
15 Feb 2025
TACCO: Task-guided Co-clustering of Clinical Concepts and Patient Visits
  for Disease Subtyping based on EHR Data
TACCO: Task-guided Co-clustering of Clinical Concepts and Patient Visits for Disease Subtyping based on EHR Data
Ziyang Zhang
Hejie Cui
Ran Xu
Yuzhang Xie
Joyce C. Ho
Carl Yang
CML
37
2
0
14 Jun 2024
DE-HNN: An effective neural model for Circuit Netlist representation
DE-HNN: An effective neural model for Circuit Netlist representation
Zhishang Luo
Truong-Son Hy
Puoya Tabaghi
Donghyeon Koh
Michael Defferrard
Elahe Rezaei
Ryan Carey
William Rhett Davis
Rajeev Jain
Yusu Wang
16
5
0
30 Mar 2024
Hypergraph-MLP: Learning on Hypergraphs without Message Passing
Hypergraph-MLP: Learning on Hypergraphs without Message Passing
Bohan Tang
Siheng Chen
Xiaowen Dong
26
5
0
15 Dec 2023
Hypergraph Neural Networks through the Lens of Message Passing: A Common Perspective to Homophily and Architecture Design
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
35
10
0
11 Oct 2023
Enhancing Hyperedge Prediction with Context-Aware Self-Supervised Learning
Enhancing Hyperedge Prediction with Context-Aware Self-Supervised Learning
Yunyong Ko
Hanghang Tong
Sang-Wook Kim
24
0
0
11 Sep 2023
Hypergraph Structure Inference From Data Under Smoothness Prior
Hypergraph Structure Inference From Data Under Smoothness Prior
Bohan Tang
Siheng Chen
Xiaowen Dong
36
5
0
27 Aug 2023
Hybrid Graph: A Unified Graph Representation with Datasets and
  Benchmarks for Complex Graphs
Hybrid Graph: A Unified Graph Representation with Datasets and Benchmarks for Complex Graphs
Zehui Li
Xiangyu Zhao
Mingzhu Shen
Guy-Bart Stan
Pietro Lio
Yiren Zhao
20
1
0
08 Jun 2023
PINA: Leveraging Side Information in eXtreme Multi-label Classification
  via Predicted Instance Neighborhood Aggregation
PINA: Leveraging Side Information in eXtreme Multi-label Classification via Predicted Instance Neighborhood Aggregation
Eli Chien
Jiong Zhang
Cho-Jui Hsieh
Jyun-Yu Jiang
Wei-Cheng Chang
O. Milenkovic
Hsiang-Fu Yu
30
9
0
21 May 2023
A Hypergraph Neural Network Framework for Learning Hyperedge-Dependent
  Node Embeddings
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
33
11
0
28 Dec 2022
Evaluating Distribution System Reliability with Hyperstructures Graph
  Convolutional Nets
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
Learning Hypergraphs From Signals With Dual Smoothness Prior
Learning Hypergraphs From Signals With Dual Smoothness Prior
Bohan Tang
Siheng Chen
Xiaowen Dong
52
8
0
03 Nov 2022
SHINE: SubHypergraph Inductive Neural nEtwork
SHINE: SubHypergraph Inductive Neural nEtwork
Yuan Luo
32
13
0
13 Oct 2022
Augmentations in Hypergraph Contrastive Learning: Fabricated and
  Generative
Augmentations in Hypergraph Contrastive Learning: Fabricated and Generative
Tianxin Wei
Yuning You
Tianlong Chen
Yang Shen
Jingrui He
Zhangyang Wang
29
45
0
07 Oct 2022
I'm Me, We're Us, and I'm Us: Tri-directional Contrastive Learning on
  Hypergraphs
I'm Me, We're Us, and I'm Us: Tri-directional Contrastive Learning on Hypergraphs
Dongjin Lee
Kijung Shin
35
37
0
09 Jun 2022
Hypergraph Convolutional Networks via Equivalency between Hypergraphs
  and Undirected Graphs
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
13
24
0
31 Mar 2022
Message passing all the way up
Message passing all the way up
Petar Velickovic
113
64
0
22 Feb 2022
Heterogeneous Graph Transformer
Heterogeneous Graph Transformer
Ziniu Hu
Yuxiao Dong
Kuansan Wang
Yizhou Sun
185
1,170
0
03 Mar 2020
Benchmarking Graph Neural Networks
Benchmarking Graph Neural Networks
Vijay Prakash Dwivedi
Chaitanya K. Joshi
Anh Tuan Luu
T. Laurent
Yoshua Bengio
Xavier Bresson
189
917
0
02 Mar 2020
Contextual Stochastic Block Models
Contextual Stochastic Block Models
Y. Deshpande
Andrea Montanari
Elchanan Mossel
S. Sen
103
153
0
23 Jul 2018
Representation Learning on Graphs with Jumping Knowledge Networks
Representation Learning on Graphs with Jumping Knowledge Networks
Keyulu Xu
Chengtao Li
Yonglong Tian
Tomohiro Sonobe
Ken-ichi Kawarabayashi
Stefanie Jegelka
GNN
276
1,944
0
09 Jun 2018
PointNet: Deep Learning on Point Sets for 3D Classification and
  Segmentation
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
C. Qi
Hao Su
Kaichun Mo
Leonidas J. Guibas
3DH
3DPC
3DV
PINN
222
14,109
0
02 Dec 2016
Geometric deep learning: going beyond Euclidean data
Geometric deep learning: going beyond Euclidean data
M. Bronstein
Joan Bruna
Yann LeCun
Arthur Szlam
P. Vandergheynst
GNN
259
3,240
0
24 Nov 2016
1