Papers
Communities
Events
Blog
Pricing
Search
Open menu
Home
Papers
1907.04931
Cited By
GraphSAINT: Graph Sampling Based Inductive Learning Method
10 July 2019
Hanqing Zeng
Hongkuan Zhou
Ajitesh Srivastava
R. Kannan
Viktor Prasanna
GNN
Re-assign community
ArXiv
PDF
HTML
Papers citing
"GraphSAINT: Graph Sampling Based Inductive Learning Method"
50 / 91 papers shown
Title
Open the Eyes of MPNN: Vision Enhances MPNN in Link Prediction
Yanbin Wei
Xuehao Wang
Zhan Zhuang
Yang Chen
Shuhao Chen
Yulong Zhang
Yu-Jie Zhang
James T. Kwok
14
0
0
13 May 2025
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
27
0
0
02 May 2025
FedHERO: A Federated Learning Approach for Node Classification Task on Heterophilic Graphs
Zihan Chen
Xingbo Fu
Yushun Dong
Jundong Li
Cong Shen
FedML
64
0
0
29 Apr 2025
Efficient Learning on Large Graphs using a Densifying Regularity Lemma
Jonathan Kouchly
Ben Finkelshtein
M. Bronstein
Ron Levie
39
0
0
25 Apr 2025
Integrating Structural and Semantic Signals in Text-Attributed Graphs with BiGTex
Azadeh Beiranvand
Seyed Mehdi Vahidipour
32
0
0
16 Apr 2025
Sparsity-Aware Communication for Distributed Graph Neural Network Training
Ujjaini Mukhodopadhyay
Alok Tripathy
Oguz Selvitopi
Katherine Yelick
A. Buluç
39
1
0
07 Apr 2025
ReSi: A Comprehensive Benchmark for Representational Similarity Measures
Max Klabunde
Tassilo Wald
Tobias Schumacher
Klaus H. Maier-Hein
Markus Strohmaier
Adriana Iamnitchi
AI4TS
VLM
68
5
0
13 Mar 2025
Graph Condensation: A Survey
Xin Gao
Junliang Yu
Wei Jiang
Tong Chen
Wentao Zhang
Hongzhi Yin
DD
83
19
0
28 Jan 2025
FIT-GNN: Faster Inference Time for GNNs Using Coarsening
Shubhajit Roy
Hrriday Ruparel
Kishan Ved
Anirban Dasgupta
GNN
AI4CE
55
0
0
28 Jan 2025
ReFactor GNNs: Revisiting Factorisation-based Models from a Message-Passing Perspective
Yihong Chen
Pushkar Mishra
Luca Franceschi
Pasquale Minervini
Pontus Stenetorp
Sebastian Riedel
59
19
0
17 Jan 2025
MADE: Graph Backdoor Defense with Masked Unlearning
Xiao Lin amd Mingjie Li
Mingjie Li
Yisen Wang
AAML
78
1
0
03 Jan 2025
Graph Triple Attention Network: A Decoupled Perspective
Xiaotang Wang
Yun Zhu
Haizhou Shi
Yongchao Liu
Chuntao Hong
60
1
0
03 Jan 2025
Sparse Decomposition of Graph Neural Networks
Yaochen Hu
Mai Zeng
Ge Zhang
P. Rumiantsev
Liheng Ma
Yingxue Zhang
Mark Coates
27
0
0
25 Oct 2024
PromptGCN: Bridging Subgraph Gaps in Lightweight GCNs
Shengwei Ji
Yujie Tian
Fei Liu
Xinlu Li
Le Wu
GNN
21
0
0
14 Oct 2024
Backdoor Graph Condensation
Jiahao Wu
Ning Lu
Zeiyu Dai
Kun Wang
Wenqi Fan
Shengcai Liu
Qing Li
Ke Tang
AAML
DD
58
5
0
03 Jul 2024
Sketch-GNN: Scalable Graph Neural Networks with Sublinear Training Complexity
Mucong Ding
Tahseen Rabbani
Bang An
Evan Z Wang
Furong Huang
23
20
0
21 Jun 2024
RobGC: Towards Robust Graph Condensation
Xinyi Gao
Hongzhi Yin
Tong Chen
Guanhua Ye
Wentao Zhang
Bin Cui
AAML
48
3
0
19 Jun 2024
Adaptive Speech Emotion Representation Learning Based On Dynamic Graph
Yingxue Gao
Huan Zhao
Zixing Zhang
36
1
0
07 May 2024
Graph Convolutional Network For Semi-supervised Node Classification With Subgraph Sketching
Zibin Huang
Jun Xian
GNN
27
0
0
19 Apr 2024
Three Revisits to Node-Level Graph Anomaly Detection: Outliers, Message Passing and Hyperbolic Neural Networks
Jing Gu
Dongmian Zou
30
3
0
06 Mar 2024
Graph Regularized Encoder Training for Extreme Classification
Anshul Mittal
Shikhar Mohan
Deepak Saini
Suchith C. Prabhu
Jain jiao
...
Manik Varma
Sumeet Agarwal
Soumen Chakrabarti
Purushottam Kar
Manik Varma
GNN
26
0
0
28 Feb 2024
RAGFormer: Learning Semantic Attributes and Topological Structure for Fraud Detection
Haolin Li
Shuyang Jiang
Lifeng Zhang
Siyuan Du
Guangnan Ye
Hongfeng Chai
16
0
0
27 Feb 2024
AttackGNN: Red-Teaming GNNs in Hardware Security Using Reinforcement Learning
Vasudev Gohil
Satwik Patnaik
D. Kalathil
Jeyavijayan Rajendran
AAML
25
3
0
21 Feb 2024
Navigating Complexity: Toward Lossless Graph Condensation via Expanding Window Matching
Yuchen Zhang
Tianle Zhang
Kai Wang
Ziyao Guo
Yuxuan Liang
Xavier Bresson
Wei Jin
Yang You
28
23
0
07 Feb 2024
Towards Effective and General Graph Unlearning via Mutual Evolution
Xunkai Li
Yulin Zhao
Zhengyu Wu
Wentao Zhang
Ronghua Li
Guoren Wang
MU
20
13
0
22 Jan 2024
Disentangled Condensation for Large-scale Graphs
Zhenbang Xiao
Shunyu Liu
Yu Wang
Tongya Zheng
Mingli Song
Mingli Song
Tongya Zheng
DD
69
6
0
18 Jan 2024
Robust Node Representation Learning via Graph Variational Diffusion Networks
Jun Zhuang
M. A. Hasan
8
7
0
18 Dec 2023
Distributed Constrained Combinatorial Optimization leveraging Hypergraph Neural Networks
Nasimeh Heydaribeni
Xinrui Zhan
Ruisi Zhang
Tina Eliassi-Rad
F. Koushanfar
AI4CE
22
8
0
15 Nov 2023
Graph Distillation with Eigenbasis Matching
Yang Liu
Deyu Bo
Chuan Shi
DD
26
9
0
13 Oct 2023
Label Deconvolution for Node Representation Learning on Large-scale Attributed Graphs against Learning Bias
Zhihao Shi
Jie Wang
Fanghua Lu
Hanzhu Chen
Defu Lian
Zheng Wang
Jieping Ye
Feng Wu
AI4CE
19
6
0
26 Sep 2023
Efficient and Explainable Graph Neural Architecture Search via Monte-Carlo Tree Search
Yuya Sasaki
25
0
0
30 Aug 2023
Node Injection Link Stealing Attack
Oualid Zari
Javier Parra-Arnau
Ayşe Ünsal
Melek Önen
20
2
0
25 Jul 2023
Weisfeiler and Leman Go Measurement Modeling: Probing the Validity of the WL Test
Arjun Subramonian
Adina Williams
Maximilian Nickel
Yizhou Sun
Levent Sagun
14
0
0
11 Jul 2023
Hybrid Graph: A Unified Graph Representation with Datasets and Benchmarks for Complex Graphs
Zehui Li
Xiangyu Zhao
Mingzhu Shen
Guy-Bart Stan
Pietro Lio'
Yiren Zhao
12
1
0
08 Jun 2023
GC-Flow: A Graph-Based Flow Network for Effective Clustering
Tianchun Wang
F. Mirzazadeh
X. Zhang
Jing Chen
BDL
29
6
0
26 May 2023
Editable Graph Neural Network for Node Classifications
Zirui Liu
Zhimeng Jiang
Shaochen Zhong
Kaixiong Zhou
Li Li
Rui Chen
Soo-Hyun Choi
Xia Hu
13
6
0
24 May 2023
The Evolution of Distributed Systems for Graph Neural Networks and their Origin in Graph Processing and Deep Learning: A Survey
Jana Vatter
R. Mayer
Hans-Arno Jacobsen
GNN
AI4TS
AI4CE
29
23
0
23 May 2023
Similarity of Neural Network Models: A Survey of Functional and Representational Measures
Max Klabunde
Tobias Schumacher
M. Strohmaier
Florian Lemmerich
45
63
0
10 May 2023
SUREL+: Moving from Walks to Sets for Scalable Subgraph-based Graph Representation Learning
Haoteng Yin
Muhan Zhang
Jianguo Wang
Pan Li
61
8
0
06 Mar 2023
HitGNN: High-throughput GNN Training Framework on CPU+Multi-FPGA Heterogeneous Platform
Yi-Chien Lin
Bingyi Zhang
Viktor Prasanna
GNN
11
5
0
02 Mar 2023
Label Information Enhanced Fraud Detection against Low Homophily in Graphs
Yuchen Wang
Jinghui Zhang
Zhengjie Huang
Weibin Li
Shi Feng
...
Dianhai Yu
Fang Dong
Jiahui Jin
Beilun Wang
Junzhou Luo
15
38
0
21 Feb 2023
LazyGNN: Large-Scale Graph Neural Networks via Lazy Propagation
Rui Xue
Haoyu Han
MohamadAli Torkamani
Jian Pei
Xiaorui Liu
GNN
17
18
0
03 Feb 2023
GraphAGILE: An FPGA-based Overlay Accelerator for Low-latency GNN Inference
Bingyi Zhang
Hanqing Zeng
Viktor Prasanna
GNN
13
15
0
02 Feb 2023
A
2
Q
\rm A^2Q
A
2
Q
: Aggregation-Aware Quantization for Graph Neural Networks
Zeyu Zhu
Fanrong Li
Zitao Mo
Qinghao Hu
Gang Li
Zejian Liu
Xiaoyao Liang
Jian Cheng
GNN
MQ
8
4
0
01 Feb 2023
Training Differentially Private Graph Neural Networks with Random Walk Sampling
Morgane Ayle
Jan Schuchardt
Lukas Gosch
Daniel Zügner
Stephan Günnemann
FedML
21
6
0
02 Jan 2023
Graph Neural Networks: A Powerful and Versatile Tool for Advancing Design, Reliability, and Security of ICs
Lilas Alrahis
J. Knechtel
Ozgur Sinanoglu
GNN
AI4CE
28
20
0
29 Nov 2022
Towards Relation-centered Pooling and Convolution for Heterogeneous Graph Learning Networks
Tiehua Zhang
Yuze Liu
Yaohan Yao
Youhua Xia
Xin Chen
Xiaowei Huang
Jiongdao Jin
16
2
0
31 Oct 2022
TuneUp: A Simple Improved Training Strategy for Graph Neural Networks
Weihua Hu
Kaidi Cao
Kexin Huang
E-Wen Huang
Karthik Subbian
Kenji Kawaguchi
J. Leskovec
22
0
0
26 Oct 2022
Federated Graph-based Networks with Shared Embedding
Tianyi Yu
Pei-Ci Lai
Fei Teng
FedML
24
3
0
03 Oct 2022
AppGNN: Approximation-Aware Functional Reverse Engineering using Graph Neural Networks
Tim Bücher
Lilas Alrahis
Guilherme Paim
S. Bampi
Ozgur Sinanoglu
H. Amrouch
12
14
0
23 Aug 2022
1
2
Next