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Graph-MLP: Node Classification without Message Passing in Graph

Graph-MLP: Node Classification without Message Passing in Graph

8 June 2021
Yang Hu
Haoxuan You
Zhecan Wang
Zhicheng Wang
Erjin Zhou
Yue Gao
ArXivPDFHTML

Papers citing "Graph-MLP: Node Classification without Message Passing in Graph"

28 / 28 papers shown
Title
Exploring Graph Tasks with Pure LLMs: A Comprehensive Benchmark and Investigation
Exploring Graph Tasks with Pure LLMs: A Comprehensive Benchmark and Investigation
Yixuan Wang
Xinnan Dai
Wenqi Fan
Yao Ma
76
1
0
26 Feb 2025
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
47
0
0
26 Dec 2024
SPARC: Spectral Architectures Tackling the Cold-Start Problem in Graph Learning
SPARC: Spectral Architectures Tackling the Cold-Start Problem in Graph Learning
Yahel Jacobs
Reut Dayan
Uri Shaham
49
0
0
03 Nov 2024
Sparse Decomposition of Graph Neural Networks
Sparse Decomposition of Graph Neural Networks
Yaochen Hu
Mai Zeng
Ge Zhang
P. Rumiantsev
Liheng Ma
Yingxue Zhang
Mark Coates
32
0
0
25 Oct 2024
Learning to Model Graph Structural Information on MLPs via Graph
  Structure Self-Contrasting
Learning to Model Graph Structural Information on MLPs via Graph Structure Self-Contrasting
Lirong Wu
Haitao Lin
Guojiang Zhao
Cheng Tan
Stan Z. Li
28
0
0
09 Sep 2024
HGOE: Hybrid External and Internal Graph Outlier Exposure for Graph
  Out-of-Distribution Detection
HGOE: Hybrid External and Internal Graph Outlier Exposure for Graph Out-of-Distribution Detection
Junwei He
Qianqian Xu
Yangbangyan Jiang
Zitai Wang
Yuchen Sun
Qingming Huang
OODD
37
0
0
31 Jul 2024
Do We Really Need Graph Convolution During Training? Light Post-Training
  Graph-ODE for Efficient Recommendation
Do We Really Need Graph Convolution During Training? Light Post-Training Graph-ODE for Efficient Recommendation
Weizhi Zhang
Liangwei Yang
Zihe Song
Henry Peng Zou
Ke Xu
Liancheng Fang
Philip S. Yu
GNN
34
1
0
26 Jul 2024
Backdoor Graph Condensation
Backdoor Graph Condensation
Jiahao Wu
Ning Lu
Zeiyu Dai
Kun Wang
Wenqi Fan
Shengcai Liu
Qing Li
Ke Tang
AAML
DD
69
5
0
03 Jul 2024
POWN: Prototypical Open-World Node Classification
POWN: Prototypical Open-World Node Classification
Marcel Hoffmann
Lukas Galke
A. Scherp
34
0
0
14 Jun 2024
A Teacher-Free Graph Knowledge Distillation Framework with Dual
  Self-Distillation
A Teacher-Free Graph Knowledge Distillation Framework with Dual Self-Distillation
Lirong Wu
Haitao Lin
Zhangyang Gao
Guojiang Zhao
Stan Z. Li
40
8
0
06 Mar 2024
Teaching MLP More Graph Information: A Three-stage Multitask Knowledge
  Distillation Framework
Teaching MLP More Graph Information: A Three-stage Multitask Knowledge Distillation Framework
Junxian Li
Bin Shi
Erfei Cui
Hua Wei
Qinghua Zheng
46
0
0
02 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
Graph Neural Networks are Inherently Good Generalizers: Insights by
  Bridging GNNs and MLPs
Graph Neural Networks are Inherently Good Generalizers: Insights by Bridging GNNs and MLPs
Chenxiao Yang
Qitian Wu
Jiahua Wang
Junchi Yan
AI4CE
19
51
0
18 Dec 2022
Transformers are Short Text Classifiers: A Study of Inductive Short Text
  Classifiers on Benchmarks and Real-world Datasets
Transformers are Short Text Classifiers: A Study of Inductive Short Text Classifiers on Benchmarks and Real-world Datasets
Fabian Karl
A. Scherp
VLM
21
20
0
30 Nov 2022
SA-MLP: Distilling Graph Knowledge from GNNs into Structure-Aware MLP
SA-MLP: Distilling Graph Knowledge from GNNs into Structure-Aware MLP
Jie Chen
Shouzhen Chen
Mingyuan Bai
Junbin Gao
Junping Zhang
Jian Pu
37
10
0
18 Oct 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
21
41
0
11 Oct 2022
Teaching Yourself: Graph Self-Distillation on Neighborhood for Node
  Classification
Teaching Yourself: Graph Self-Distillation on Neighborhood for Node Classification
Lirong Wu
Jun-Xiong Xia
Haitao Lin
Zhangyang Gao
Zicheng Liu
Guojiang Zhao
Stan Z. Li
61
6
0
05 Oct 2022
Robust Fair Clustering: A Novel Fairness Attack and Defense Framework
Robust Fair Clustering: A Novel Fairness Attack and Defense Framework
Anshuman Chhabra
Peizhao Li
P. Mohapatra
Hongfu Liu
OOD
23
22
0
04 Oct 2022
MLPInit: Embarrassingly Simple GNN Training Acceleration with MLP
  Initialization
MLPInit: Embarrassingly Simple GNN Training Acceleration with MLP Initialization
Xiaotian Han
Tong Zhao
Yozen Liu
Xia Hu
Neil Shah
GNN
55
36
0
30 Sep 2022
Efficient block contrastive learning via parameter-free meta-node
  approximation
Efficient block contrastive learning via parameter-free meta-node approximation
Gayan K. Kulatilleke
Marius Portmann
Shekhar S. Chandra
29
3
0
28 Sep 2022
NOSMOG: Learning Noise-robust and Structure-aware MLPs on Graphs
NOSMOG: Learning Noise-robust and Structure-aware MLPs on Graphs
Yijun Tian
Chuxu Zhang
Zhichun Guo
Xiangliang Zhang
Nitesh V. Chawla
44
14
0
22 Aug 2022
Alternately Optimized Graph Neural Networks
Alternately Optimized Graph Neural Networks
Haoyu Han
Xiaorui Liu
Haitao Mao
Torkamani Ali
Feng Shi
Victor E. Lee
Jiliang Tang
GNN
31
8
0
08 Jun 2022
SCGC : Self-Supervised Contrastive Graph Clustering
SCGC : Self-Supervised Contrastive Graph Clustering
Gayan K. Kulatilleke
Marius Portmann
Shekhar S. Chandra
33
8
0
27 Apr 2022
Graph Summarization with Graph Neural Networks
Graph Summarization with Graph Neural Networks
Maximilian Blasi
M. Freudenreich
Johannes Horvath
David Richerby
A. Scherp
30
0
0
11 Mar 2022
Cold Brew: Distilling Graph Node Representations with Incomplete or
  Missing Neighborhoods
Cold Brew: Distilling Graph Node Representations with Incomplete or Missing Neighborhoods
Wenqing Zheng
Edward W. Huang
Nikhil S. Rao
S. Katariya
Zhangyang Wang
Karthik Subbian
32
62
0
08 Nov 2021
Graph-less Neural Networks: Teaching Old MLPs New Tricks via
  Distillation
Graph-less Neural Networks: Teaching Old MLPs New Tricks via Distillation
Shichang Zhang
Yozen Liu
Yizhou Sun
Neil Shah
33
173
0
17 Oct 2021
MLP-Mixer: An all-MLP Architecture for Vision
MLP-Mixer: An all-MLP Architecture for Vision
Ilya O. Tolstikhin
N. Houlsby
Alexander Kolesnikov
Lucas Beyer
Xiaohua Zhai
...
Andreas Steiner
Daniel Keysers
Jakob Uszkoreit
Mario Lucic
Alexey Dosovitskiy
271
2,603
0
04 May 2021
Improved Baselines with Momentum Contrastive Learning
Improved Baselines with Momentum Contrastive Learning
Xinlei Chen
Haoqi Fan
Ross B. Girshick
Kaiming He
SSL
267
3,371
0
09 Mar 2020
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