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Deeper Insights into Graph Convolutional Networks for Semi-Supervised
  Learning

Deeper Insights into Graph Convolutional Networks for Semi-Supervised Learning

22 January 2018
Qimai Li
Zhichao Han
Xiao-Ming Wu
    GNNSSL
ArXiv (abs)PDFHTML

Papers citing "Deeper Insights into Graph Convolutional Networks for Semi-Supervised Learning"

50 / 1,098 papers shown
Title
CKGConv: General Graph Convolution with Continuous Kernels
CKGConv: General Graph Convolution with Continuous Kernels
Liheng Ma
Soumyasundar Pal
Yitian Zhang
Jiaming Zhou
Yingxue Zhang
Mark Coates
94
5
0
21 Apr 2024
Multi-View Subgraph Neural Networks: Self-Supervised Learning with
  Scarce Labeled Data
Multi-View Subgraph Neural Networks: Self-Supervised Learning with Scarce Labeled Data
Zhenzhong Wang
Qingyuan Zeng
Wanyu Lin
Min Jiang
Kay Chen Tan
SSL
61
3
0
19 Apr 2024
Rethinking the Graph Polynomial Filter via Positive and Negative
  Coupling Analysis
Rethinking the Graph Polynomial Filter via Positive and Negative Coupling Analysis
Haodong Wen
Bodong Du
Ruixun Liu
Deyu Meng
Xiangyong Cao
135
0
0
16 Apr 2024
RandAlign: A Parameter-Free Method for Regularizing Graph Convolutional
  Networks
RandAlign: A Parameter-Free Method for Regularizing Graph Convolutional Networks
Haimin Zhang
Min Xu
110
3
0
15 Apr 2024
VN-EGNN: E(3)-Equivariant Graph Neural Networks with Virtual Nodes
  Enhance Protein Binding Site Identification
VN-EGNN: E(3)-Equivariant Graph Neural Networks with Virtual Nodes Enhance Protein Binding Site Identification
Florian Sestak
Lisa Schneckenreiter
Johannes Brandstetter
Sepp Hochreiter
Andreas Mayr
Günter Klambauer
110
12
0
10 Apr 2024
Generalization Bounds for Message Passing Networks on Mixture of
  Graphons
Generalization Bounds for Message Passing Networks on Mixture of Graphons
Sohir Maskey
Gitta Kutyniok
Ron Levie
104
6
0
04 Apr 2024
First-order PDES for Graph Neural Networks: Advection And Burgers
  Equation Models
First-order PDES for Graph Neural Networks: Advection And Burgers Equation Models
Yifan Qu
Oliver A. Krzysik
H. Sterck
Omer Ege Kara
AI4CE
62
0
0
03 Apr 2024
Graph Neural Aggregation-diffusion with Metastability
Graph Neural Aggregation-diffusion with Metastability
Kaiyuan Cui
Xinyan Wang
Zicheng Zhang
Weichen Zhao
108
2
0
29 Mar 2024
HealthGAT: Node Classifications in Electronic Health Records using Graph
  Attention Networks
HealthGAT: Node Classifications in Electronic Health Records using Graph Attention Networks
Fahmida Liza Piya
Mehak Gupta
Rahmatollah Beheshti
78
1
0
26 Mar 2024
HyperGALE: ASD Classification via Hypergraph Gated Attention with
  Learnable Hyperedges
HyperGALE: ASD Classification via Hypergraph Gated Attention with Learnable Hyperedges
Mehul Arora
Chirag Shantilal Jain
Lalith Bharadwaj Baru
Kamalaker Dadi
Raju Surampudi Bapi
124
0
0
21 Mar 2024
Unified Static and Dynamic Network: Efficient Temporal Filtering for Video Grounding
Unified Static and Dynamic Network: Efficient Temporal Filtering for Video Grounding
Jingjing Hu
Dan Guo
Kun Li
Zhan Si
Xun Yang
Xiaojun Chang
Meng Wang
132
3
0
21 Mar 2024
Unifews: You Need Fewer Operations for Efficient Graph Neural Networks
Unifews: You Need Fewer Operations for Efficient Graph Neural Networks
Ningyi Liao
Zihao Yu
Ruixiao Zeng
Siqiang Luo
GNN
68
0
0
20 Mar 2024
Semantic-Enhanced Representation Learning for Road Networks with
  Temporal Dynamics
Semantic-Enhanced Representation Learning for Road Networks with Temporal Dynamics
Yile Chen
Xiucheng Li
Gao Cong
Zhifeng Bao
Cheng Long
47
2
0
18 Mar 2024
A Semantic Mention Graph Augmented Model for Document-Level Event
  Argument Extraction
A Semantic Mention Graph Augmented Model for Document-Level Event Argument Extraction
Jian Zhang
Chang-Qing Yang
Haiping Zhu
Qika Lin
Fangzhi Xu
Jun Liu
85
1
0
12 Mar 2024
Uncertainty in Graph Neural Networks: A Survey
Uncertainty in Graph Neural Networks: A Survey
Fangxin Wang
Yuqing Liu
Kay Liu
Yibo Wang
Sourav Medya
Philip S. Yu
AI4CE
137
10
0
11 Mar 2024
On the Topology Awareness and Generalization Performance of Graph Neural
  Networks
On the Topology Awareness and Generalization Performance of Graph Neural Networks
Junwei Su
Chuan Wu
AI4CE
74
0
0
07 Mar 2024
Simplified PCNet with Robustness
Simplified PCNet with Robustness
Bingheng Li
Xuanting Xie
Haoxiang Lei
Ruiyi Fang
Zhao Kang
125
7
0
06 Mar 2024
Provable Filter for Real-world Graph Clustering
Provable Filter for Real-world Graph Clustering
Xuanting Xie
Erlin Pan
Zhao Kang
Wenyu Chen
Bingheng Li
GNN
71
3
0
06 Mar 2024
VQSynery: Robust Drug Synergy Prediction With Vector Quantization
  Mechanism
VQSynery: Robust Drug Synergy Prediction With Vector Quantization Mechanism
Jiawei Wu
Mingyuan Yan
Dianbo Liu
65
2
0
05 Mar 2024
Decoupled Subgraph Federated Learning
Decoupled Subgraph Federated Learning
Javad Aliakbari
Johan Ostman
Alexandre Graell i Amat
FedML
104
0
0
29 Feb 2024
Understanding Oversmoothing in Diffusion-Based GNNs From the Perspective of Operator Semigroup Theory
Understanding Oversmoothing in Diffusion-Based GNNs From the Perspective of Operator Semigroup Theory
Weichen Zhao
Chenguang Wang
Xinyan Wang
Congying Han
Tiande Guo
Tianshu Yu
147
0
0
23 Feb 2024
A Microstructure-based Graph Neural Network for Accelerating Multiscale
  Simulations
A Microstructure-based Graph Neural Network for Accelerating Multiscale Simulations
J. Storm
I. Rocha
F. P. Meer
AI4CE
89
3
0
20 Feb 2024
Cell Graph Transformer for Nuclei Classification
Cell Graph Transformer for Nuclei Classification
Wei Lou
Guanbin Li
Xiang Wan
Haofeng Li
ViTMedIm
118
5
0
20 Feb 2024
More Discriminative Sentence Embeddings via Semantic Graph Smoothing
More Discriminative Sentence Embeddings via Semantic Graph Smoothing
Chakib Fettal
Lazhar Labiod
M. Nadif
106
1
0
20 Feb 2024
SIBO: A Simple Booster for Parameter-Efficient Fine-Tuning
SIBO: A Simple Booster for Parameter-Efficient Fine-Tuning
Zhihao Wen
Jie Zhang
Yuan Fang
MoE
82
3
0
19 Feb 2024
CodeArt: Better Code Models by Attention Regularization When Symbols Are
  Lacking
CodeArt: Better Code Models by Attention Regularization When Symbols Are Lacking
Zian Su
Xiangzhe Xu
Ziyang Huang
Zhuo Zhang
Yapeng Ye
Jianjun Huang
Xiangyu Zhang
OffRL
103
10
0
19 Feb 2024
Understanding and Guiding Weakly Supervised Entity Alignment with
  Potential Isomorphism Propagation
Understanding and Guiding Weakly Supervised Entity Alignment with Potential Isomorphism Propagation
Yuanyi Wang
Wei Tang
Haifeng Sun
Zirui Zhuang
Xiaoyuan Fu
Jingyu Wang
Qi Qi
Jianxin Liao
87
1
0
05 Feb 2024
COMET: Generating Commit Messages using Delta Graph Context
  Representation
COMET: Generating Commit Messages using Delta Graph Context Representation
Abhinav Reddy Mandli
Saurabhsingh Rajput
Tushar Sharma
46
1
0
02 Feb 2024
Graph Transformers without Positional Encodings
Graph Transformers without Positional Encodings
Ayush Garg
105
0
0
31 Jan 2024
PrIsing: Privacy-Preserving Peer Effect Estimation via Ising Model
PrIsing: Privacy-Preserving Peer Effect Estimation via Ising Model
Abhinav Chakraborty
Anirban Chatterjee
Abhinandan Dalal
52
0
0
29 Jan 2024
DGNN: Decoupled Graph Neural Networks with Structural Consistency
  between Attribute and Graph Embedding Representations
DGNN: Decoupled Graph Neural Networks with Structural Consistency between Attribute and Graph Embedding Representations
Jinlu Wang
Jipeng Guo
Yanfeng Sun
Junbin Gao
Shaofan Wang
Yachao Yang
Baocai Yin
AI4CE
85
2
0
28 Jan 2024
LPNL: Scalable Link Prediction with Large Language Models
LPNL: Scalable Link Prediction with Large Language Models
Baolong Bi
Shenghua Liu
Yiwei Wang
Lingrui Mei
Xueqi Cheng
LRM
95
6
0
24 Jan 2024
KAM-CoT: Knowledge Augmented Multimodal Chain-of-Thoughts Reasoning
KAM-CoT: Knowledge Augmented Multimodal Chain-of-Thoughts Reasoning
Debjyoti Mondal
Suraj Modi
Subhadarshi Panda
Rituraj Singh
Godawari Sudhakar Rao
LRM
77
46
0
23 Jan 2024
Distribution Consistency based Self-Training for Graph Neural Networks
  with Sparse Labels
Distribution Consistency based Self-Training for Graph Neural Networks with Sparse Labels
Fali Wang
Tianxiang Zhao
Suhang Wang
83
10
0
18 Jan 2024
Understanding Heterophily for Graph Neural Networks
Understanding Heterophily for Graph Neural Networks
Junfu Wang
Yuanfang Guo
Liang Yang
Yun-an Wang
106
15
0
17 Jan 2024
Setting the Record Straight on Transformer Oversmoothing
Setting the Record Straight on Transformer Oversmoothing
G. Dovonon
M. Bronstein
Matt J. Kusner
88
6
0
09 Jan 2024
GLISP: A Scalable GNN Learning System by Exploiting Inherent Structural
  Properties of Graphs
GLISP: A Scalable GNN Learning System by Exploiting Inherent Structural Properties of Graphs
Zhongshu Zhu
Bin Jing
Xiaopei Wan
Zhizhen Liu
Lei Liang
Jun Zhou
61
2
0
06 Jan 2024
Graph Neural Networks for Tabular Data Learning: A Survey with Taxonomy
  and Directions
Graph Neural Networks for Tabular Data Learning: A Survey with Taxonomy and Directions
Cheng-Te Li
Yu-Che Tsai
Chih-Yao Chen
Jay Chiehen Liao
LMTDAI4CE
89
9
0
04 Jan 2024
DGDNN: Decoupled Graph Diffusion Neural Network for Stock Movement
  Prediction
DGDNN: Decoupled Graph Diffusion Neural Network for Stock Movement Prediction
Zinuo You
Zijian Shi
Hongbo Bo
John Cartlidge
Li Zhang
Yan Ge
AIFinDiffM
60
5
0
03 Jan 2024
On the Expressive Power of Graph Neural Networks
Ashwin Nalwade
Kelly Marshall
Axel Eladi
Umang Sharma
53
0
0
03 Jan 2024
Graph Elimination Networks
Graph Elimination Networks
Shuo Wang
Ge Cheng
Yun Zhang
AI4CEGNN
72
0
0
02 Jan 2024
Adaptive Message Passing: A General Framework to Mitigate Oversmoothing, Oversquashing, and Underreaching
Adaptive Message Passing: A General Framework to Mitigate Oversmoothing, Oversquashing, and Underreaching
Federico Errica
Henrik Christiansen
Viktor Zaverkin
Takashi Maruyama
Mathias Niepert
Francesco Alesiani
218
10
0
27 Dec 2023
NodeMixup: Tackling Under-Reaching for Graph Neural Networks
NodeMixup: Tackling Under-Reaching for Graph Neural Networks
Weigang Lu
Ziyu Guan
Wei Zhao
Yaming Yang
Long Jin
106
14
0
20 Dec 2023
When Graph Data Meets Multimodal: A New Paradigm for Graph Understanding
  and Reasoning
When Graph Data Meets Multimodal: A New Paradigm for Graph Understanding and Reasoning
Qihang Ai
Jianwu Zhou
Haiyun Jiang
Lemao Liu
Shuming Shi
33
1
0
16 Dec 2023
An Attentive Inductive Bias for Sequential Recommendation beyond the
  Self-Attention
An Attentive Inductive Bias for Sequential Recommendation beyond the Self-Attention
Yehjin Shin
Jeongwhan Choi
Hyowon Wi
Noseong Park
123
40
0
16 Dec 2023
nuScenes Knowledge Graph -- A comprehensive semantic representation of
  traffic scenes for trajectory prediction
nuScenes Knowledge Graph -- A comprehensive semantic representation of traffic scenes for trajectory prediction
Leon Mlodzian
Zhigang Sun
Hendrik Berkemeyer
Sebastian Monka
Zixu Wang
Stefan Dietze
Lavdim Halilaj
J. Luettin
59
6
0
15 Dec 2023
Graph Neural Networks with Diverse Spectral Filtering
Graph Neural Networks with Diverse Spectral Filtering
Jingwei Guo
Kaizhu Huang
Xinping Yi
Rui Zhang
146
14
0
14 Dec 2023
Securing Graph Neural Networks in MLaaS: A Comprehensive Realization of
  Query-based Integrity Verification
Securing Graph Neural Networks in MLaaS: A Comprehensive Realization of Query-based Integrity Verification
Bang Wu
Lizhen Qu
Shuo Wang
Qi Li
Minhui Xue
Shirui Pan
95
8
0
13 Dec 2023
HyPE-GT: where Graph Transformers meet Hyperbolic Positional Encodings
HyPE-GT: where Graph Transformers meet Hyperbolic Positional Encodings
Kushal Bose
Swagatam Das
84
0
0
11 Dec 2023
Sparse but Strong: Crafting Adversarially Robust Graph Lottery Tickets
Sparse but Strong: Crafting Adversarially Robust Graph Lottery Tickets
Subhajit Dutta Chowdhury
Zhiyu Ni
Qingyuan Peng
Souvik Kundu
Pierluigi Nuzzo
83
3
0
11 Dec 2023
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