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Simplifying Graph Convolutional Networks
v1v2 (latest)

Simplifying Graph Convolutional Networks

19 February 2019
Felix Wu
Tianyi Zhang
Amauri Souza
Christopher Fifty
Tao Yu
Kilian Q. Weinberger
    GNN
ArXiv (abs)PDFHTML

Papers citing "Simplifying Graph Convolutional Networks"

50 / 1,418 papers shown
Title
Haste Makes Waste: A Simple Approach for Scaling Graph Neural Networks
Haste Makes Waste: A Simple Approach for Scaling Graph Neural Networks
Rui Xue
Tong Zhao
Neil Shah
Xiaorui Liu
GNN
70
1
0
07 Oct 2024
BSG4Bot: Efficient Bot Detection based on Biased Heterogeneous Subgraphs
BSG4Bot: Efficient Bot Detection based on Biased Heterogeneous Subgraphs
Hao Miao
Zida Liu
Jun Gao
73
0
0
07 Oct 2024
SiMilarity-Enhanced Homophily for Multi-View Heterophilous Graph
  Clustering
SiMilarity-Enhanced Homophily for Multi-View Heterophilous Graph Clustering
Jianpeng Chen
Yawen Ling
Yazhou Ren
Zichen Wen
Tianyi Wu
Shufei Zhang
Lifang He
111
0
0
04 Oct 2024
Diss-l-ECT: Dissecting Graph Data with Local Euler Characteristic Transforms
Diss-l-ECT: Dissecting Graph Data with Local Euler Characteristic Transforms
Julius von Rohrscheidt
Bastian Rieck
113
1
0
03 Oct 2024
STGformer: Efficient Spatiotemporal Graph Transformer for Traffic
  Forecasting
STGformer: Efficient Spatiotemporal Graph Transformer for Traffic Forecasting
Hongjun Wang
Jiyuan Chen
Tong Pan
Zheng Dong
Lingyu Zhang
Renhe Jiang
Xuan Song
AI4TSGNN
79
1
0
01 Oct 2024
Sequential Signal Mixing Aggregation for Message Passing Graph Neural
  Networks
Sequential Signal Mixing Aggregation for Message Passing Graph Neural Networks
Mitchell Keren Taraday
Almog David
Chaim Baskin
70
1
0
28 Sep 2024
Beyond Redundancy: Information-aware Unsupervised Multiplex Graph
  Structure Learning
Beyond Redundancy: Information-aware Unsupervised Multiplex Graph Structure Learning
Zhixiang Shen
Shuo Wang
Zhao Kang
123
4
0
25 Sep 2024
TabGraphs: A Benchmark and Strong Baselines for Learning on Graphs with
  Tabular Node Features
TabGraphs: A Benchmark and Strong Baselines for Learning on Graphs with Tabular Node Features
Gleb Bazhenov
Oleg Platonov
Liudmila Prokhorenkova
LMTD
56
1
0
22 Sep 2024
When Witnesses Defend: A Witness Graph Topological Layer for Adversarial Graph Learning
When Witnesses Defend: A Witness Graph Topological Layer for Adversarial Graph Learning
Naheed Anjum Arafat
D. Basu
Yulia R. Gel
Yuzhou Chen
AAML
460
1
0
21 Sep 2024
Multi-View Adaptive Contrastive Learning for Information Retrieval Based Fault Localization
Multi-View Adaptive Contrastive Learning for Information Retrieval Based Fault Localization
Chunying Zhou
Xiaoyuan Xie
Gong Chen
Peng He
Bing Li
9
0
0
19 Sep 2024
Entity-Aware Self-Attention and Contextualized GCN for Enhanced Relation
  Extraction in Long Sentences
Entity-Aware Self-Attention and Contextualized GCN for Enhanced Relation Extraction in Long Sentences
Xin Wang
Xinyi Bai
58
0
0
15 Sep 2024
Redesigning graph filter-based GNNs to relax the homophily assumption
Redesigning graph filter-based GNNs to relax the homophily assumption
Samuel Rey
Madeline Navarro
Victor M. Tenorio
Santiago Segarra
Antonio G. Marques
80
4
0
13 Sep 2024
DELTA: Dual Consistency Delving with Topological Uncertainty for Active Graph Domain Adaptation
DELTA: Dual Consistency Delving with Topological Uncertainty for Active Graph Domain Adaptation
Pengyun Wang
Yadi Cao
Chris Russell
Yanxin Shen
Junyu Luo
Ming Zhang
Siyu Heng
Zhiyuan Ning
97
1
0
13 Sep 2024
Transformers from Diffusion: A Unified Framework for Neural Message Passing
Transformers from Diffusion: A Unified Framework for Neural Message Passing
Qitian Wu
David Wipf
Junchi Yan
DiffM
127
1
0
13 Sep 2024
Multiplex Graph Contrastive Learning with Soft Negatives
Multiplex Graph Contrastive Learning with Soft Negatives
Zhenhao Zhao
Minhong Zhu
Chen Wang
Sijia Wang
Jiqiang Zhang
Li Chen
Weiran Cai
59
0
0
12 Sep 2024
Graph Neural Networks for Parkinsons Disease Detection
Graph Neural Networks for Parkinsons Disease Detection
S. A. Sheikh
Yacouba Kaloga
Md. Sahidullah
Ina Kodrasi
70
1
0
12 Sep 2024
Virtual Node Generation for Node Classification in Sparsely-Labeled
  Graphs
Virtual Node Generation for Node Classification in Sparsely-Labeled Graphs
Hang Cui
Tarek F. Abdelzaher
67
0
0
12 Sep 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
104
0
0
09 Sep 2024
Generalized Learning of Coefficients in Spectral Graph Convolutional
  Networks
Generalized Learning of Coefficients in Spectral Graph Convolutional Networks
Mustafa Coşkun
A. Grama
Mehmet Koyutürk
86
0
0
07 Sep 2024
On the design space between molecular mechanics and machine learning
  force fields
On the design space between molecular mechanics and machine learning force fields
Yuanqing Wang
Kenichiro Takaba
Michael S. Chen
Marcus Wieder
Yuzhi Xu
...
Kyunghyun Cho
Joe G. Greener
Peter K. Eastman
Stefano Martiniani
M. Tuckerman
AI4CE
112
5
0
03 Sep 2024
Hound: Hunting Supervision Signals for Few and Zero Shot Node
  Classification on Text-attributed Graph
Hound: Hunting Supervision Signals for Few and Zero Shot Node Classification on Text-attributed Graph
Yuxiang Wang
Xiao Yan
Shiyu Jin
Quanqing Xu
Chuanhui Yang
Yuanyuan Zhu
Chuang Hu
Bo Du
Jiawei Jiang
VLM
61
0
0
01 Sep 2024
Towards Faster Graph Partitioning via Pre-training and Inductive
  Inference
Towards Faster Graph Partitioning via Pre-training and Inductive Inference
Meng Qin
Chaorui Zhang
Yu Gao
Yibin Ding
Weipeng Jiang
Weixi Zhang
Wei Han
Bo Bai
AI4CE
56
1
0
01 Sep 2024
SFR-GNN: Simple and Fast Robust GNNs against Structural Attacks
SFR-GNN: Simple and Fast Robust GNNs against Structural Attacks
Xing Ai
Guanyu Zhu
Yulin Zhu
Yu Zheng
Gaolei Li
Jianhua Li
Kai Zhou
AAML
88
0
0
29 Aug 2024
OpenFGL: A Comprehensive Benchmark for Federated Graph Learning
OpenFGL: A Comprehensive Benchmark for Federated Graph Learning
Miao Hu
Yinlin Zhu
Boyang Pang
Guochen Yan
Yeyu Yan
Zening Li
Zhengyu Wu
Wentao Zhang
Rong-Hua Li
Guoren Wang
FedML
111
0
0
29 Aug 2024
Representation Learning of Complex Assemblies, An Effort to Improve
  Corporate Scope 3 Emissions Calculation
Representation Learning of Complex Assemblies, An Effort to Improve Corporate Scope 3 Emissions Calculation
Ajay Chatterjee
Srikanth Ranganathan
126
0
0
21 Aug 2024
GAIM: Attacking Graph Neural Networks via Adversarial Influence
  Maximization
GAIM: Attacking Graph Neural Networks via Adversarial Influence Maximization
Xiaodong Yang
Xiaoting Li
Huiyuan Chen
Yiwei Cai
AAML
50
0
0
20 Aug 2024
AnyGraph: Graph Foundation Model in the Wild
AnyGraph: Graph Foundation Model in the Wild
Lianghao Xia
Chao Huang
OOD
101
18
0
20 Aug 2024
Federated Graph Learning with Structure Proxy Alignment
Federated Graph Learning with Structure Proxy Alignment
Xingbo Fu
Zihan Chen
Binchi Zhang
Chen Chen
Jundong Li
FedML
91
8
0
18 Aug 2024
E-CGL: An Efficient Continual Graph Learner
E-CGL: An Efficient Continual Graph Learner
Jianhao Guo
Zixuan Ni
Yun Zhu
Siliang Tang
CLL
96
0
0
18 Aug 2024
Scalable and Certifiable Graph Unlearning: Overcoming the Approximation Error Barrier
Scalable and Certifiable Graph Unlearning: Overcoming the Approximation Error Barrier
Lu Yi
Zhewei Wei
MU
124
0
0
17 Aug 2024
Neighbor Overlay-Induced Graph Attention Network
Neighbor Overlay-Induced Graph Attention Network
Tiqiao Wei
Ye Yuan
GNN
64
1
0
16 Aug 2024
Robust Offline Active Learning on Graphs
Robust Offline Active Learning on Graphs
Yuanchen Wu
Yubai Yuan
OffRL
53
0
0
15 Aug 2024
Scalable and Adaptive Spectral Embedding for Attributed Graph Clustering
Scalable and Adaptive Spectral Embedding for Attributed Graph Clustering
Yunhui Liu
Tieke He
Qing Wu
Tao Zheng
Jianhua Zhao
GNN
89
0
0
11 Aug 2024
Federated Hypergraph Learning with Hyperedge Completion
Federated Hypergraph Learning with Hyperedge Completion
Linfeng Luo
Fengxiao Tang
Xiyu Liu
Zhiqi Guo
Zihao Qiu
Ming Zhao
FedML
75
0
0
09 Aug 2024
Reliable Node Similarity Matrix Guided Contrastive Graph Clustering
Reliable Node Similarity Matrix Guided Contrastive Graph Clustering
Yunhui Liu
Xinyi Gao
Tieke He
Tao Zheng
Jianhua Zhao
Hongzhi Yin
103
7
0
07 Aug 2024
Beyond Over-smoothing: Uncovering the Trainability Challenges in Deep
  Graph Neural Networks
Beyond Over-smoothing: Uncovering the Trainability Challenges in Deep Graph Neural Networks
Jie Peng
Runlin Lei
Zhewei Wei
161
7
0
07 Aug 2024
TSC: A Simple Two-Sided Constraint against Over-Smoothing
TSC: A Simple Two-Sided Constraint against Over-Smoothing
Furong Peng
Kang Liu
Xuan Lu
Yuhua Qian
HongRen Yan
Chao Ma
107
0
0
06 Aug 2024
Non-convolutional Graph Neural Networks
Non-convolutional Graph Neural Networks
Yuanqing Wang
N. Scherer-Negenborn
GNN
83
5
0
31 Jul 2024
RevGNN: Negative Sampling Enhanced Contrastive Graph Learning for
  Academic Reviewer Recommendation
RevGNN: Negative Sampling Enhanced Contrastive Graph Learning for Academic Reviewer Recommendation
Weibin Liao
Yifan Zhu
Yanyan Li
Qi Zhang
Zhonghong Ou
Xuesong Li
90
5
0
30 Jul 2024
Noise-Resilient Unsupervised Graph Representation Learning via Multi-Hop
  Feature Quality Estimation
Noise-Resilient Unsupervised Graph Representation Learning via Multi-Hop Feature Quality Estimation
Shiyuan Li
Yixin Liu
Qingfeng Chen
Geoffrey I. Webb
Shirui Pan
SSL
93
5
0
29 Jul 2024
Boosting Graph Foundation Model from Structural Perspective
Boosting Graph Foundation Model from Structural Perspective
Yao Cheng
Yige Zhao
Jianxiang Yu
Xiang Li
110
5
0
29 Jul 2024
IDEA: A Flexible Framework of Certified Unlearning for Graph Neural
  Networks
IDEA: A Flexible Framework of Certified Unlearning for Graph Neural Networks
Yushun Dong
Binchi Zhang
Zhenyu Lei
Na Zou
Jundong Li
MU
115
8
0
28 Jul 2024
Alleviating Over-Smoothing via Aggregation over Compact Manifolds
Alleviating Over-Smoothing via Aggregation over Compact Manifolds
Dongzhuoran Zhou
Hui Yang
Bo Xiong
Yue Ma
Evgeny Kharlamov
110
0
0
27 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
109
2
0
26 Jul 2024
Scalable Graph Compressed Convolutions
Scalable Graph Compressed Convolutions
Junshu Sun
Chen Yang
Shuhui Wang
Qingming Huang
GNN
107
0
0
26 Jul 2024
HC-GST: Heterophily-aware Distribution Consistency based Graph
  Self-training
HC-GST: Heterophily-aware Distribution Consistency based Graph Self-training
Fali Wang
Tianxiang Zhao
Junjie Xu
Suhang Wang
79
1
0
25 Jul 2024
RIDA: A Robust Attack Framework on Incomplete Graphs
RIDA: A Robust Attack Framework on Incomplete Graphs
Jianke Yu
Hanchen Wang
Chen Chen
Xiaoyang Wang
Wenjie Zhang
Ying Zhang
Ying Zhang
Xijuan Liu
GNNOODAAML
130
1
0
25 Jul 2024
Balanced Multi-Relational Graph Clustering
Balanced Multi-Relational Graph Clustering
Zhixiang Shen
Haolan He
Zhao Kang
88
8
0
23 Jul 2024
Pre-Training and Prompting for Few-Shot Node Classification on
  Text-Attributed Graphs
Pre-Training and Prompting for Few-Shot Node Classification on Text-Attributed Graphs
Huan-jing Zhao
Beining Yang
Yukuo Cen
Junyu Ren
Chenhui Zhang
Yuxiao Dong
Evgeny Kharlamov
Shu Zhao
Jie Tang
VLM
94
8
0
22 Jul 2024
Revisiting Neighborhood Aggregation in Graph Neural Networks for Node
  Classification using Statistical Signal Processing
Revisiting Neighborhood Aggregation in Graph Neural Networks for Node Classification using Statistical Signal Processing
Mounir Ghogho
59
1
0
21 Jul 2024
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