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MGNNI: Multiscale Graph Neural Networks with Implicit Layers

MGNNI: Multiscale Graph Neural Networks with Implicit Layers

15 October 2022
Juncheng Liu
Bryan Hooi
Kenji Kawaguchi
X. Xiao
    AI4CE
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Papers citing "MGNNI: Multiscale Graph Neural Networks with Implicit Layers"

16 / 16 papers shown
Title
IGNN-Solver: A Graph Neural Solver for Implicit Graph Neural Networks
IGNN-Solver: A Graph Neural Solver for Implicit Graph Neural Networks
Junchao Lin
Zenan Ling
Zhanbo Feng
Feng Zhou
Jingwen Xu
Feng Zhou
Tianqi Hou
Zhenyu Liao
Robert C. Qiu
GNN
AI4CE
43
0
0
11 Oct 2024
ClassContrast: Bridging the Spatial and Contextual Gaps for Node
  Representations
ClassContrast: Bridging the Spatial and Contextual Gaps for Node Representations
Md Joshem Uddin
Astrit Tola
Varin Sikand
Cüneyt Gürcan Akçora
Baris Coskunuzer
24
1
0
03 Oct 2024
Minimum Topology Attacks for Graph Neural Networks
Minimum Topology Attacks for Graph Neural Networks
Mengmei Zhang
Xiao Wang
Chuan Shi
Lingjuan Lyu
Tianchi Yang
Junping Du
AAML
31
7
0
05 Mar 2024
TorchDEQ: A Library for Deep Equilibrium Models
TorchDEQ: A Library for Deep Equilibrium Models
Zhengyang Geng
J. Zico Kolter
VLM
44
12
0
28 Oct 2023
A Model-Agnostic Graph Neural Network for Integrating Local and Global
  Information
A Model-Agnostic Graph Neural Network for Integrating Local and Global Information
Wenzhuo Zhou
Annie Qu
Keiland W Cooper
Norbert Fortin
B. Shahbaba
23
1
0
23 Sep 2023
Parallelizing non-linear sequential models over the sequence length
Parallelizing non-linear sequential models over the sequence length
Yi Heng Lim
Qi Zhu
Joshua Selfridge
M. F. Kasim
8
13
0
21 Sep 2023
Bridging Trustworthiness and Open-World Learning: An Exploratory Neural
  Approach for Enhancing Interpretability, Generalization, and Robustness
Bridging Trustworthiness and Open-World Learning: An Exploratory Neural Approach for Enhancing Interpretability, Generalization, and Robustness
Shide Du
Zihan Fang
Shiyang Lan
Yanchao Tan
Manuel Günther
Shiping Wang
Wenzhong Guo
14
3
0
07 Aug 2023
G-Signatures: Global Graph Propagation With Randomized Signatures
G-Signatures: Global Graph Propagation With Randomized Signatures
Bernhard Schafl
Lukas Gruber
Johannes Brandstetter
Sepp Hochreiter
12
2
0
17 Feb 2023
Single-Pass Contrastive Learning Can Work for Both Homophilic and
  Heterophilic Graph
Single-Pass Contrastive Learning Can Work for Both Homophilic and Heterophilic Graph
Hong Wang
Jieyu Zhang
Qi Zhu
Wei Huang
Kenji Kawaguchi
X. Xiao
21
11
0
20 Nov 2022
Unifying Label-inputted Graph Neural Networks with Deep Equilibrium
  Models
Unifying Label-inputted Graph Neural Networks with Deep Equilibrium Models
Yi Luo
Guiduo Duan
Guangchun Luo
Aiguo Chen
11
1
0
19 Nov 2022
Memory-Augmented Graph Neural Networks: A Brain-Inspired Review
Memory-Augmented Graph Neural Networks: A Brain-Inspired Review
Guixiang Ma
Vy A. Vo
Ted Willke
Nesreen Ahmed
14
1
0
22 Sep 2022
Long Range Graph Benchmark
Long Range Graph Benchmark
Vijay Prakash Dwivedi
Ladislav Rampášek
Mikhail Galkin
Alipanah Parviz
Guy Wolf
A. Luu
Dominique Beaini
19
193
0
16 Jun 2022
On Training Implicit Models
On Training Implicit Models
Zhengyang Geng
Xinyu Zhang
Shaojie Bai
Yisen Wang
Zhouchen Lin
56
69
0
09 Nov 2021
Geom-GCN: Geometric Graph Convolutional Networks
Geom-GCN: Geometric Graph Convolutional Networks
Hongbin Pei
Bingzhen Wei
Kevin Chen-Chuan Chang
Yu Lei
Bo Yang
GNN
169
1,072
0
13 Feb 2020
Multi-scale Attributed Node Embedding
Multi-scale Attributed Node Embedding
Benedek Rozemberczki
Carl Allen
Rik Sarkar
GNN
145
833
0
28 Sep 2019
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
229
1,935
0
09 Jun 2018
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