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Simple and Deep Graph Convolutional Networks

Simple and Deep Graph Convolutional Networks

4 July 2020
Ming Chen
Zhewei Wei
Zengfeng Huang
Bolin Ding
Yaliang Li
    GNN
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Papers citing "Simple and Deep Graph Convolutional Networks"

50 / 678 papers shown
Title
SpecSphere: Dual-Pass Spectral-Spatial Graph Neural Networks with Certified Robustness
SpecSphere: Dual-Pass Spectral-Spatial Graph Neural Networks with Certified Robustness
Yoonhyuk Choi
Chong-Kwon Kim
34
0
0
13 May 2025
Wide & Deep Learning for Node Classification
Wide & Deep Learning for Node Classification
Yancheng Chen
Wenguo Yang
Zhipeng Jiang
GNN
38
0
0
04 May 2025
Toward Data-centric Directed Graph Learning: An Entropy-driven Approach
Toward Data-centric Directed Graph Learning: An Entropy-driven Approach
Xunkai Li
Zhengyu Wu
Kaichi Yu
Hongchao Qin
Guang Zeng
Rong-Hua Li
Guoren Wang
35
0
0
02 May 2025
Hierarchical Uncertainty-Aware Graph Neural Network
Hierarchical Uncertainty-Aware Graph Neural Network
Yoonhyuk Choi
Jiho Choi
Taewook Ko
Chong-Kwon Kim
163
0
0
28 Apr 2025
Simplifying Graph Convolutional Networks with Redundancy-Free Neighbors
Simplifying Graph Convolutional Networks with Redundancy-Free Neighbors
Jielong Lu
Zhihao Wu
Zhiling Cai
Yueyang Pi
Shiping Wang
GNN
54
0
0
18 Apr 2025
H$^3$GNNs: Harmonizing Heterophily and Homophily in GNNs via Joint Structural Node Encoding and Self-Supervised Learning
H3^33GNNs: Harmonizing Heterophily and Homophily in GNNs via Joint Structural Node Encoding and Self-Supervised Learning
Rui Xue
Tianfu Wu
AI4CE
40
0
0
16 Apr 2025
Towards Unbiased Federated Graph Learning: Label and Topology Perspectives
Towards Unbiased Federated Graph Learning: Label and Topology Perspectives
Zhengyu Wu
Boyang Pang
Xunkai Li
Yichen Zhu
Daohan Su
Bowen Fan
R. Li
Guoren Wang
Chenghu Zhou
FedML
38
0
0
14 Apr 2025
Federated Prototype Graph Learning
Federated Prototype Graph Learning
Zhengyu Wu
Xunkai Li
Yichen Zhu
R. Li
Guoren Wang
Chenghu Zhou
FedML
43
0
0
13 Apr 2025
FairACE: Achieving Degree Fairness in Graph Neural Networks via Contrastive and Adversarial Group-Balanced Training
FairACE: Achieving Degree Fairness in Graph Neural Networks via Contrastive and Adversarial Group-Balanced Training
Jiaheng Liu
Xiaoqian Jiang
Xuzhao Li
Bohan Zhang
J. Zhang
32
0
0
12 Apr 2025
GRAIN: Multi-Granular and Implicit Information Aggregation Graph Neural Network for Heterophilous Graphs
GRAIN: Multi-Granular and Implicit Information Aggregation Graph Neural Network for Heterophilous Graphs
Songwei Zhao
Yuan Jiang
Zijing Zhang
Yang Yu
Hechang Chen
23
0
0
09 Apr 2025
Toward General and Robust LLM-enhanced Text-attributed Graph Learning
Toward General and Robust LLM-enhanced Text-attributed Graph Learning
Zihao Zhang
Xunkai Li
R. Li
Bing Zhou
Zhenjun Li
Guoren Wang
41
0
0
03 Apr 2025
Towards Efficient Training of Graph Neural Networks: A Multiscale Approach
Towards Efficient Training of Graph Neural Networks: A Multiscale Approach
Eshed Gal
Moshe Eliasof
Carola-Bibiane Schönlieb
Eldad Haber
Eran Treister
GNN
AI4CE
67
1
0
25 Mar 2025
Enhance GNNs with Reliable Confidence Estimation via Adversarial Calibration Learning
Enhance GNNs with Reliable Confidence Estimation via Adversarial Calibration Learning
Yilong Wang
Jun Zhang
Tianxiang Zhao
Suhang Wang
AAML
44
0
0
23 Mar 2025
Diffusion on Graph: Augmentation of Graph Structure for Node Classification
Diffusion on Graph: Augmentation of Graph Structure for Node Classification
Yancheng Wang
Changyu Liu
Yingzhen Yang
DiffM
GNN
94
0
0
16 Mar 2025
Weighted Graph Structure Learning with Attention Denoising for Node Classification
Weighted Graph Structure Learning with Attention Denoising for Node Classification
Tingting Wang
Jiaxin Su
Haobing Liu
Ruobing Jiang
65
0
0
15 Mar 2025
GNNs as Predictors of Agentic Workflow Performances
Wenjie Qu
Yuchen Hou
Bohan Tang
Shuo Chen
Muhan Zhang
Xiaowen Dong
Tian Jin
LLMAG
AI4CE
65
0
0
14 Mar 2025
Using Subgraph GNNs for Node Classification:an Overlooked Potential Approach
Qian Zeng
Xin Lin
Jingyi Gao
Yang Yu
73
0
0
09 Mar 2025
Out-of-Distribution Generalization on Graphs via Progressive Inference
Yiming Xu
Bin Shi
Zhen Peng
Huixiang Liu
Bo Dong
Chen Chen
OOD
AI4CE
79
0
0
04 Mar 2025
Statistical physics analysis of graph neural networks: Approaching optimality in the contextual stochastic block model
O. Duranthon
L. Zdeborová
49
0
0
03 Mar 2025
Edge Prompt Tuning for Graph Neural Networks
Xingbo Fu
Yinhan He
Jundong Li
52
1
0
02 Mar 2025
Channel-Attentive Graph Neural Networks
Tuğrul Hasan Karabulut
İnci M. Baytaş
47
0
0
01 Mar 2025
A Fused Gromov-Wasserstein Approach to Subgraph Contrastive Learning
A Fused Gromov-Wasserstein Approach to Subgraph Contrastive Learning
Amadou S. Sangare
Nicolas Dunou
Jhony H. Giraldo
Fragkiskos D. Malliaros
SSL
64
0
0
28 Feb 2025
Accurate and Scalable Graph Neural Networks via Message Invariance
Accurate and Scalable Graph Neural Networks via Message Invariance
Zhihao Shi
Jie Wang
Zhiwei Zhuang
Xize Liang
Bin Li
Feng Wu
54
1
0
27 Feb 2025
On Vanishing Gradients, Over-Smoothing, and Over-Squashing in GNNs: Bridging Recurrent and Graph Learning
On Vanishing Gradients, Over-Smoothing, and Over-Squashing in GNNs: Bridging Recurrent and Graph Learning
Alvaro Arroyo
Alessio Gravina
Benjamin Gutteridge
Federico Barbero
Claudio Gallicchio
Xiaowen Dong
Michael M. Bronstein
P. Vandergheynst
42
3
0
15 Feb 2025
Recent Advances in Malware Detection: Graph Learning and Explainability
Recent Advances in Malware Detection: Graph Learning and Explainability
Hossein Shokouhinejad
Roozbeh Razavi-Far
Hesamodin Mohammadian
Mahdi Rabbani
Samuel Ansong
Griffin Higgins
Ali Ghorbani
AAML
76
2
0
14 Feb 2025
Enhancing the Utility of Higher-Order Information in Relational Learning
Enhancing the Utility of Higher-Order Information in Relational Learning
Raphael Pellegrin
Lukas Fesser
Melanie Weber
96
0
0
13 Feb 2025
LLM4GNAS: A Large Language Model Based Toolkit for Graph Neural Architecture Search
LLM4GNAS: A Large Language Model Based Toolkit for Graph Neural Architecture Search
Yang Gao
Hong Yang
Y. Chen
Junxian Wu
Peng Zhang
Haishuai Wang
48
0
0
12 Feb 2025
Rethinking Tokenized Graph Transformers for Node Classification
Rethinking Tokenized Graph Transformers for Node Classification
Jinsong Chen
Chenyang Li
Gaichao Li
J. Hopcroft
Kun He
59
0
0
12 Feb 2025
Effects of Random Edge-Dropping on Over-Squashing in Graph Neural Networks
Effects of Random Edge-Dropping on Over-Squashing in Graph Neural Networks
Jasraj Singh
Keyue Jiang
Brooks Paige
Laura Toni
70
1
0
11 Feb 2025
FlashVideo: Flowing Fidelity to Detail for Efficient High-Resolution Video Generation
FlashVideo: Flowing Fidelity to Detail for Efficient High-Resolution Video Generation
Shilong Zhang
Wenbo Li
Shoufa Chen
Chongjian Ge
Peize Sun
Yunke Zhang
Yi-Xin Jiang
Zehuan Yuan
Binyue Peng
Ping Luo
DiffM
VGen
101
3
0
07 Feb 2025
Resolving Oversmoothing with Opinion Dissensus
Resolving Oversmoothing with Opinion Dissensus
Keqin Wang
Yulong Yang
Ishan Saha
Christine Allen-Blanchette
60
1
0
31 Jan 2025
DAGPrompT: Pushing the Limits of Graph Prompting with a Distribution-aware Graph Prompt Tuning Approach
Qin Chen
Liang Wang
Bo Zheng
Guojie Song
41
2
0
28 Jan 2025
Graph Neural Preconditioners for Iterative Solutions of Sparse Linear Systems
Graph Neural Preconditioners for Iterative Solutions of Sparse Linear Systems
Jie Chen
AI4CE
59
2
0
28 Jan 2025
Mamba-Based Graph Convolutional Networks: Tackling Over-smoothing with Selective State Space
Mamba-Based Graph Convolutional Networks: Tackling Over-smoothing with Selective State Space
Xin He
Yansen Wang
Wenqi Fan
Xu Shen
Xin Juan
Rui Miao
Xin Wang
70
0
0
26 Jan 2025
Toward Effective Digraph Representation Learning: A Magnetic Adaptive Propagation based Approach
Toward Effective Digraph Representation Learning: A Magnetic Adaptive Propagation based Approach
Xunkai Li
Daohan Su
Zhengyu Wu
Guang Zeng
Hongchao Qin
Rong-Hua Li
Guoren Wang
AI4CE
33
0
0
21 Jan 2025
MVGT: A Multi-view Graph Transformer Based on Spatial Relations for EEG Emotion Recognition
MVGT: A Multi-view Graph Transformer Based on Spatial Relations for EEG Emotion Recognition
Yanjie Cui
Xiaohong Liu
Jing Liang
Yamin Fu
65
1
0
17 Jan 2025
Efficient Traffic Prediction Through Spatio-Temporal Distillation
Efficient Traffic Prediction Through Spatio-Temporal Distillation
Qianru Zhang
Xinyi Gao
Haixin Wang
Siu-Ming Yiu
Hongzhi Yin
AI4TS
37
2
0
15 Jan 2025
CureGraph: Contrastive Multi-Modal Graph Representation Learning for Urban Living Circle Health Profiling and Prediction
CureGraph: Contrastive Multi-Modal Graph Representation Learning for Urban Living Circle Health Profiling and Prediction
Jinlin Li
Xiao Zhou
41
0
0
13 Jan 2025
Halal or Not: Knowledge Graph Completion for Predicting Cultural Appropriateness of Daily Products
Halal or Not: Knowledge Graph Completion for Predicting Cultural Appropriateness of Daily Products
Van Thuy Hoang
Tien-Bach-Thanh Do
Jinho Seo
Seung Charlie Kim
Luong Vuong Nguyen
Duong Nguyen Minh Huy
Hyeon-Ju Jeon
O-Joun Lee
34
1
0
10 Jan 2025
Optimality of Message-Passing Architectures for Sparse Graphs
Optimality of Message-Passing Architectures for Sparse Graphs
Aseem Baranwal
K. Fountoulakis
Aukosh Jagannath
81
11
0
10 Jan 2025
Large-Scale Spectral Graph Neural Networks via Laplacian Sparsification: Technical Report
Large-Scale Spectral Graph Neural Networks via Laplacian Sparsification: Technical Report
Haipeng Ding
Zhewei Wei
Yuhang Ye
36
0
0
08 Jan 2025
GraphLoRA: Structure-Aware Contrastive Low-Rank Adaptation for Cross-Graph Transfer Learning
GraphLoRA: Structure-Aware Contrastive Low-Rank Adaptation for Cross-Graph Transfer Learning
Zhe-Rui Yang
Jindong Han
Chang-Dong Wang
Hao Liu
OffRL
35
1
0
08 Jan 2025
OpenGU: A Comprehensive Benchmark for Graph Unlearning
OpenGU: A Comprehensive Benchmark for Graph Unlearning
Bowen Fan
Yuming Ai
Xunkai Li
Zhilin Guo
Rong-Hua Li
Guoren Wang
MU
43
1
0
06 Jan 2025
The Efficiency vs. Accuracy Trade-off: Optimizing RAG-Enhanced LLM Recommender Systems Using Multi-Head Early Exit
Huixue Zhou
Hengrui Gu
Xi Liu
Kaixiong Zhou
Mingfu Liang
...
Wen-Yen Chen
Yiping Han
Bo Long
Rui Zhang
Tianlong Chen
3DV
51
1
0
04 Jan 2025
Graph Triple Attention Network: A Decoupled Perspective
Graph Triple Attention Network: A Decoupled Perspective
Xiaotang Wang
Yun Zhu
Haizhou Shi
Yongchao Liu
Chuntao Hong
70
2
0
03 Jan 2025
Efficient Link Prediction via GNN Layers Induced by Negative Sampling
Efficient Link Prediction via GNN Layers Induced by Negative Sampling
Yuxin Wang
Xiannian Hu
Quan Gan
Xuanjing Huang
Xipeng Qiu
David Wipf
60
4
0
31 Dec 2024
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
GraphAgent: Agentic Graph Language Assistant
GraphAgent: Agentic Graph Language Assistant
Yuhao Yang
J. Tang
Lianghao Xia
Xingchen Zou
Keli Zhang
Chao Huang
LM&Ro
93
1
0
22 Dec 2024
Graph Coarsening via Supervised Granular-Ball for Scalable Graph Neural
  Network Training
Graph Coarsening via Supervised Granular-Ball for Scalable Graph Neural Network Training
Shuyin Xia
Xinjun Ma
Zhiyuan Liu
Cheng Liu
Sen Zhao
G. Wang
71
2
0
18 Dec 2024
SE-GCL: An Event-Based Simple and Effective Graph Contrastive Learning
  for Text Representation
SE-GCL: An Event-Based Simple and Effective Graph Contrastive Learning for Text Representation
Tao Meng
Wei Ai
Jianbin Li
Ze Wang
Yuntao Shou
Keqin Li
AI4TS
78
0
0
16 Dec 2024
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