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NOSMOG: Learning Noise-robust and Structure-aware MLPs on Graphs

NOSMOG: Learning Noise-robust and Structure-aware MLPs on Graphs

22 August 2022
Yijun Tian
Chuxu Zhang
Zhichun Guo
Xiangliang Zhang
Nitesh V. Chawla
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Papers citing "NOSMOG: Learning Noise-robust and Structure-aware MLPs on Graphs"

14 / 14 papers shown
Title
Humans as a Calibration Pattern: Dynamic 3D Scene Reconstruction from Unsynchronized and Uncalibrated Videos
Humans as a Calibration Pattern: Dynamic 3D Scene Reconstruction from Unsynchronized and Uncalibrated Videos
Changwoon Choi
Jeongjun Kim
Geonho Cha
Minkwan Kim
Dongyoon Wee
Young Min Kim
3DH
42
0
0
26 Dec 2024
HyperAggregation: Aggregating over Graph Edges with Hypernetworks
HyperAggregation: Aggregating over Graph Edges with Hypernetworks
N. Lell
A. Scherp
GNN
35
0
0
16 Jul 2024
Graph Knowledge Distillation to Mixture of Experts
Graph Knowledge Distillation to Mixture of Experts
P. Rumiantsev
Mark Coates
16
0
0
17 Jun 2024
UGMAE: A Unified Framework for Graph Masked Autoencoders
UGMAE: A Unified Framework for Graph Masked Autoencoders
Yijun Tian
Chuxu Zhang
Ziyi Kou
Zheyuan Liu
Xiangliang Zhang
Nitesh V. Chawla
11
1
0
12 Feb 2024
Classifying Nodes in Graphs without GNNs
Classifying Nodes in Graphs without GNNs
Daniel Winter
Niv Cohen
Yedid Hoshen
162
2
0
08 Feb 2024
Graph Condensation for Inductive Node Representation Learning
Graph Condensation for Inductive Node Representation Learning
Xin Gao
Tong Chen
Yilong Zang
Wentao Zhang
Quoc Viet Hung Nguyen
Kai Zheng
Hongzhi Yin
DD
AI4CE
27
32
0
29 Jul 2023
Edge-free but Structure-aware: Prototype-Guided Knowledge Distillation
  from GNNs to MLPs
Edge-free but Structure-aware: Prototype-Guided Knowledge Distillation from GNNs to MLPs
Taiqiang Wu
Zhe Zhao
Jiahao Wang
Xingyu Bai
Lei Wang
Ngai Wong
Yujiu Yang
49
9
0
24 Mar 2023
Structure-Aware Group Discrimination with Adaptive-View Graph Encoder: A
  Fast Graph Contrastive Learning Framework
Structure-Aware Group Discrimination with Adaptive-View Graph Encoder: A Fast Graph Contrastive Learning Framework
Zhenshuo Zhang
Yun Zhu
Haizhou Shi
Siliang Tang
16
1
0
09 Mar 2023
Knowledge Distillation on Graphs: A Survey
Knowledge Distillation on Graphs: A Survey
Yijun Tian
Shichao Pei
Xiangliang Zhang
Chuxu Zhang
Nitesh V. Chawla
10
28
0
01 Feb 2023
Do We Really Need Graph Neural Networks for Traffic Forecasting?
Do We Really Need Graph Neural Networks for Traffic Forecasting?
Xu Liu
Yuxuan Liang
Chao Huang
Hengchang Hu
Yushi Cao
Bryan Hooi
Roger Zimmermann
AI4TS
10
20
0
30 Jan 2023
Interpretable Node Representation with Attribute Decoding
Interpretable Node Representation with Attribute Decoding
Xiaohui Chen
Xi Chen
Liping Liu
22
4
0
03 Dec 2022
Linkless Link Prediction via Relational Distillation
Linkless Link Prediction via Relational Distillation
Zhichun Guo
William Shiao
Shichang Zhang
Yozen Liu
Nitesh V. Chawla
Neil Shah
Tong Zhao
13
41
0
11 Oct 2022
Recipe2Vec: Multi-modal Recipe Representation Learning with Graph Neural
  Networks
Recipe2Vec: Multi-modal Recipe Representation Learning with Graph Neural Networks
Yijun Tian
Chuxu Zhang
Zhichun Guo
Yihong Ma
Ronald A Metoyer
Nitesh V. Chawla
31
18
0
24 May 2022
Distilling Knowledge from Graph Convolutional Networks
Distilling Knowledge from Graph Convolutional Networks
Yiding Yang
Jiayan Qiu
Mingli Song
Dacheng Tao
Xinchao Wang
141
222
0
23 Mar 2020
1