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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
Continuous Geometry-Aware Graph Diffusion via Hyperbolic Neural PDE
Continuous Geometry-Aware Graph Diffusion via Hyperbolic Neural PDE
Jiaxu Liu
Xinping Yi
Sihao Wu
Xiangyu Yin
Tianle Zhang
Xiaowei Huang
Shi Jin
86
1
0
03 Jun 2024
Logical Reasoning with Relation Network for Inductive Knowledge Graph
  Completion
Logical Reasoning with Relation Network for Inductive Knowledge Graph Completion
Qinggang Zhang
Keyu Duan
Junnan Dong
Pai Zheng
Xiao Huang
100
3
0
03 Jun 2024
CiliaGraph: Enabling Expression-enhanced Hyper-Dimensional Computation
  in Ultra-Lightweight and One-Shot Graph Classification on Edge
CiliaGraph: Enabling Expression-enhanced Hyper-Dimensional Computation in Ultra-Lightweight and One-Shot Graph Classification on Edge
Yuxi Han
Jihe Wang
Danghui Wang
81
1
0
29 May 2024
Node Injection Attack Based on Label Propagation Against Graph Neural
  Network
Node Injection Attack Based on Label Propagation Against Graph Neural Network
Peican Zhu
Zechen Pan
Keke Tang
Xiaodong Cui
Jinhuan Wang
Qi Xuan
AAML
79
3
0
29 May 2024
Graph Coarsening with Message-Passing Guarantees
Graph Coarsening with Message-Passing Guarantees
Antonin Joly
Nicolas Keriven
66
2
0
28 May 2024
Graph Neural Networks on Quantum Computers
Graph Neural Networks on Quantum Computers
Yidong Liao
Xiao-Ming Zhang
Chris Ferrie
GNN
76
5
0
27 May 2024
FUGNN: Harmonizing Fairness and Utility in Graph Neural Networks
FUGNN: Harmonizing Fairness and Utility in Graph Neural Networks
Renqiang Luo
Huafei Huang
Shuo Yu
Zhuoyang Han
Estrid He
Xiuzhen Zhang
Xiwei Xu
90
3
0
27 May 2024
Graph Condensation for Open-World Graph Learning
Graph Condensation for Open-World Graph Learning
Xin Gao
Tong Chen
Wentao Zhang
Yayong Li
Xiangguo Sun
Hongzhi Yin
123
8
0
27 May 2024
ARC: A Generalist Graph Anomaly Detector with In-Context Learning
ARC: A Generalist Graph Anomaly Detector with In-Context Learning
Yixin Liu
Shiyuan Li
Yu Zheng
Qingfeng Chen
Chengqi Zhang
Shirui Pan
85
14
0
27 May 2024
Transfer Learning Under High-Dimensional Graph Convolutional Regression
  Model for Node Classification
Transfer Learning Under High-Dimensional Graph Convolutional Regression Model for Node Classification
Jiachen Chen
Danyang Huang
Liyuan Wang
Kathryn L. Lunetta
Debarghya Mukherjee
Huimin Cheng
54
0
0
26 May 2024
Negative as Positive: Enhancing Out-of-distribution Generalization for
  Graph Contrastive Learning
Negative as Positive: Enhancing Out-of-distribution Generalization for Graph Contrastive Learning
Zixu Wang
Bingbing Xu
Yige Yuan
Huawei Shen
Xueqi Cheng
OODD
98
2
0
25 May 2024
Differentiable Cluster Graph Neural Network
Differentiable Cluster Graph Neural Network
Yanfei Dong
Mohammed Haroon Dupty
Lambert Deng
Zhuanghua Liu
Yong Liang Goh
Wee Sun Lee
GNN
81
1
0
25 May 2024
Rethinking Independent Cross-Entropy Loss For Graph-Structured Data
Rethinking Independent Cross-Entropy Loss For Graph-Structured Data
Rui Miao
Kaixiong Zhou
Yili Wang
Ninghao Liu
Ying Wang
Xin Wang
95
5
0
24 May 2024
DFGNN: Dual-frequency Graph Neural Network for Sign-aware Feedback
DFGNN: Dual-frequency Graph Neural Network for Sign-aware Feedback
Yiqing Wu
Ruobing Xie
Zhao Zhang
Xu-Yao Zhang
Fuzhen Zhuang
Leyu Lin
Zhanhui Kang
Yongjun Xu
42
2
0
24 May 2024
AGS-GNN: Attribute-guided Sampling for Graph Neural Networks
AGS-GNN: Attribute-guided Sampling for Graph Neural Networks
Siddhartha Shankar Das
S. Ferdous
M. Halappanavar
Edoardo Serra
A. Pothen
91
2
0
24 May 2024
AdaGMLP: AdaBoosting GNN-to-MLP Knowledge Distillation
AdaGMLP: AdaBoosting GNN-to-MLP Knowledge Distillation
Weigang Lu
Ziyu Guan
Wei Zhao
Yaming Yang
73
4
0
23 May 2024
GCondenser: Benchmarking Graph Condensation
GCondenser: Benchmarking Graph Condensation
Yilun Liu
Ruihong Qiu
Zi Huang
DD
87
8
0
23 May 2024
LOGIN: A Large Language Model Consulted Graph Neural Network Training
  Framework
LOGIN: A Large Language Model Consulted Graph Neural Network Training Framework
Yiran Qiao
Xiang Ao
Yang Liu
Jiarong Xu
Xiaoqian Sun
Qing He
98
4
0
22 May 2024
Rethinking and Accelerating Graph Condensation: A Training-Free Approach with Class Partition
Rethinking and Accelerating Graph Condensation: A Training-Free Approach with Class Partition
Xin Gao
Tong Chen
Wentao Zhang
Junliang Yu
Guanhua Ye
Quoc Viet Hung Nguyen
137
8
0
22 May 2024
How Universal Polynomial Bases Enhance Spectral Graph Neural Networks:
  Heterophily, Over-smoothing, and Over-squashing
How Universal Polynomial Bases Enhance Spectral Graph Neural Networks: Heterophily, Over-smoothing, and Over-squashing
Keke Huang
Yu Guang Wang
Ming Li
Pietro Lio
123
30
0
21 May 2024
Facilitating Feature and Topology Lightweighting: An Ethereum
  Transaction Graph Compression Method for Malicious Account Detection
Facilitating Feature and Topology Lightweighting: An Ethereum Transaction Graph Compression Method for Malicious Account Detection
Jiajun Zhou
Xuanze Chen
Sheng Gong
Chenkai Hu
Chengxiang Jin
Shanqing Yu
Qi Xuan
68
1
0
14 May 2024
Disttack: Graph Adversarial Attacks Toward Distributed GNN Training
Disttack: Graph Adversarial Attacks Toward Distributed GNN Training
Yuxiang Zhang
Xin Liu
Meng Wu
Wei Yan
Yurui Lai
Xiaochun Ye
Xiaochun Ye
GNNAAML
71
2
0
10 May 2024
Conditional Local Feature Encoding for Graph Neural Networks
Conditional Local Feature Encoding for Graph Neural Networks
Yongze Wang
Haimin Zhang
Qiang Wu
Min Xu
AI4CEGNN
80
1
0
08 May 2024
Acceleration Algorithms in GNNs: A Survey
Acceleration Algorithms in GNNs: A Survey
Lu Ma
Zeang Sheng
Miao Hu
Xin Gao
Zhezheng Hao
Ling Yang
Wentao Zhang
Tengjiao Wang
GNN
125
0
0
07 May 2024
Binarized Simplicial Convolutional Neural Networks
Binarized Simplicial Convolutional Neural Networks
Yi Yan
E. Kuruoglu
97
4
0
07 May 2024
Federated Graph Condensation with Information Bottleneck Principles
Federated Graph Condensation with Information Bottleneck Principles
Bo Yan
DDFedML
80
4
0
07 May 2024
E2GNN: Efficient Graph Neural Network Ensembles for Semi-Supervised
  Classification
E2GNN: Efficient Graph Neural Network Ensembles for Semi-Supervised Classification
Xin Zhang
Daochen Zha
Qiaoyu Tan
93
1
0
06 May 2024
ATNPA: A Unified View of Oversmoothing Alleviation in Graph Neural
  Networks
ATNPA: A Unified View of Oversmoothing Alleviation in Graph Neural Networks
Yufei Jin
Xingquan Zhu
104
2
0
02 May 2024
Uncertainty for Active Learning on Graphs
Uncertainty for Active Learning on Graphs
Dominik Fuchsgruber
Tom Wollschlager
Bertrand Charpentier
Antonio Oroz
Stephan Günnemann
148
11
0
02 May 2024
Temporal Graph ODEs for Irregularly-Sampled Time Series
Temporal Graph ODEs for Irregularly-Sampled Time Series
Alessio Gravina
Daniele Zambon
Davide Bacciu
Cesare Alippi
AI4TSCML
94
5
0
30 Apr 2024
Octopus v4: Graph of language models
Octopus v4: Graph of language models
Wei Chen
Zhiyuan Li
61
7
0
30 Apr 2024
A survey of dynamic graph neural networks
A survey of dynamic graph neural networks
Yanping Zheng
Lu Yi
Zhewei Wei
AI4TSAI4CE
63
13
0
28 Apr 2024
Revealing and Utilizing In-group Favoritism for Graph-based
  Collaborative Filtering
Revealing and Utilizing In-group Favoritism for Graph-based Collaborative Filtering
H. Jung
Hyunsoo Cho
Myungje Choi
Joowon Lee
Jung Ho Park
Myungjoo Kang
55
0
0
23 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
59
3
0
19 Apr 2024
Inductive Cognitive Diagnosis for Fast Student Learning in Web-Based
  Online Intelligent Education Systems
Inductive Cognitive Diagnosis for Fast Student Learning in Web-Based Online Intelligent Education Systems
Shuo Liu
Junhao Shen
Hong Qian
Aimin Zhou
AI4Ed
77
24
0
17 Apr 2024
You do not have to train Graph Neural Networks at all on text-attributed
  graphs
You do not have to train Graph Neural Networks at all on text-attributed graphs
Kaiwen Dong
Zhichun Guo
Nitesh Chawla
105
1
0
17 Apr 2024
Relational Graph Convolutional Networks for Sentiment Analysis
Relational Graph Convolutional Networks for Sentiment Analysis
Asal Khosravi
Zahed Rahmati
Ali Vefghi
GNN
41
2
0
16 Apr 2024
Efflex: Efficient and Flexible Pipeline for Spatio-Temporal Trajectory
  Graph Modeling and Representation Learning
Efflex: Efficient and Flexible Pipeline for Spatio-Temporal Trajectory Graph Modeling and Representation Learning
Ming Cheng
Ziyi Zhou
Bowen Zhang
Ziyu Wang
Jiaqi Gan
Ziang Ren
Weiqi Feng
Yi Lyu
Hefan Zhang
Xingjian Diao
64
7
0
15 Apr 2024
HyperMono: A Monotonicity-aware Approach to Hyper-Relational Knowledge Representation
HyperMono: A Monotonicity-aware Approach to Hyper-Relational Knowledge Representation
Zhiwei Hu
Víctor Gutiérrez-Basulto
Zhiliang Xiang
Ru Li
Jeff Z. Pan
67
1
0
15 Apr 2024
Characterizing the Influence of Topology on Graph Learning Tasks
Characterizing the Influence of Topology on Graph Learning Tasks
Kailong Wu
Yule Xie
Jiaxin Ding
Yuxiang Ren
Luoyi Fu
Xinbing Wang
Cheng Zhou
70
0
0
11 Apr 2024
Spectral GNN via Two-dimensional (2-D) Graph Convolution
Spectral GNN via Two-dimensional (2-D) Graph Convolution
Guoming Li
Jian Yang
Shangsong Liang
Dongsheng Luo
GNN
93
3
0
06 Apr 2024
Theoretical and Empirical Insights into the Origins of Degree Bias in
  Graph Neural Networks
Theoretical and Empirical Insights into the Origins of Degree Bias in Graph Neural Networks
Arjun Subramonian
Jian Kang
Yizhou Sun
AI4CE
87
4
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
54
0
0
03 Apr 2024
GeoT: Tensor Centric Library for Graph Neural Network via Efficient
  Segment Reduction on GPU
GeoT: Tensor Centric Library for Graph Neural Network via Efficient Segment Reduction on GPU
Zhongming Yu
Genghan Zhang
Hanxian Huang
Xin Chen
Jishen Zhao
GNN
78
0
0
03 Apr 2024
CATGNN: Cost-Efficient and Scalable Distributed Training for Graph
  Neural Networks
CATGNN: Cost-Efficient and Scalable Distributed Training for Graph Neural Networks
Xin Huang
Weipeng Zhuo
Minh Phu Vuong
Shiju Li
Jongryool Kim
Bradley Rees
Chul-Ho Lee
GNN
59
0
0
02 Apr 2024
Continuous Spiking Graph Neural Networks
Continuous Spiking Graph Neural Networks
Nan Yin
Mengzhu Wang
Li Shen
Hitesh Laxmichand Patel
Baopu Li
Bin Gu
Huan Xiong
GNN
93
11
0
02 Apr 2024
GLEMOS: Benchmark for Instantaneous Graph Learning Model Selection
GLEMOS: Benchmark for Instantaneous Graph Learning Model Selection
Namyong Park
Ryan Rossi
Xing Wang
Antoine Simoulin
Nesreen K. Ahmed
Christos Faloutsos
VLM
108
2
0
02 Apr 2024
A Survey on Hypergraph Neural Networks: An In-Depth and Step-By-Step
  Guide
A Survey on Hypergraph Neural Networks: An In-Depth and Step-By-Step Guide
Sunwoo Kim
Soo Yong Lee
Yue Gao
Alessia Antelmi
Mirko Polato
Kijung Shin
GNNAI4TS
86
23
0
01 Apr 2024
Graph Neural Aggregation-diffusion with Metastability
Graph Neural Aggregation-diffusion with Metastability
Kaiyuan Cui
Xinyan Wang
Zicheng Zhang
Weichen Zhao
102
2
0
29 Mar 2024
Learn from Heterophily: Heterophilous Information-enhanced Graph Neural
  Network
Learn from Heterophily: Heterophilous Information-enhanced Graph Neural Network
Yilun Zheng
Jiahao Xu
Lihui Chen
105
2
0
26 Mar 2024
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