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1902.07243
Cited By
Graph Neural Networks for Social Recommendation
19 February 2019
Wenqi Fan
Yao Ma
Qing Li
Yuan He
Y. Zhao
Jiliang Tang
Dawei Yin
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Papers citing
"Graph Neural Networks for Social Recommendation"
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Title
On the Probability of Necessity and Sufficiency of Explaining Graph Neural Networks: A Lower Bound Optimization Approach
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Yuxuan Zhu
Xuexin Chen
Yuan Fang
Min-man Wu
Jie Qiao
Z. Hao
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31 Dec 2024
A Decade of Deep Learning: A Survey on The Magnificent Seven
Dilshod Azizov
Muhammad Arslan Manzoor
Velibor Bojkovic
Yingxu Wang
Z. Wang
...
Liang Li
Siwei Liu
Yu Zhong
Wei Liu
Shangsong Liang
OOD
AI4TS
MedIm
120
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13 Dec 2024
A Dynamical Systems-Inspired Pruning Strategy for Addressing Oversmoothing in Graph Neural Networks
Biswadeep Chakraborty
H. Kumar
Saibal Mukhopadhyay
82
1
0
10 Dec 2024
Graph Neural Networks Are More Than Filters: Revisiting and Benchmarking from A Spectral Perspective
Yushun Dong
Patrick Soga
Yinhan He
Song Wang
Jundong Li
94
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0
10 Dec 2024
One Model for One Graph: A New Perspective for Pretraining with Cross-domain Graphs
J. Liu
Haitao Mao
Zhikai Chen
Wenqi Fan
Mingxuan Ju
Tong Zhao
Neil Shah
Jiliang Tang
AI4CE
64
0
0
30 Nov 2024
Instance-Aware Graph Prompt Learning
Jiazheng Li
Jundong Li
Chuxu Zhang
VLM
67
2
0
26 Nov 2024
Guiding Word Equation Solving using Graph Neural Networks (Extended Technical Report)
Parosh Aziz Abdulla
Mohamed Faouzi Atig
Julie Cailler
Chencheng Liang
P. Rümmer
68
0
0
19 Nov 2024
Stealing Training Graphs from Graph Neural Networks
M. Lin
Enyan Dai
Junjie Xu
Jinyuan Jia
Xiang Zhang
Suhang Wang
DiffM
33
1
0
17 Nov 2024
Adaptive Network Intervention for Complex Systems: A Hierarchical Graph Reinforcement Learning Approach
Qiliang Chen
Babak Heydari
24
0
0
30 Oct 2024
LEGO-Learn: Label-Efficient Graph Open-Set Learning
Haoyan Xu
Kay Liu
Zhengtao Yao
Philip S. Yu
Mengyuan Li
Yue Zhao
Yue Zhao
OODD
62
5
0
21 Oct 2024
Theoretical Insights into Line Graph Transformation on Graph Learning
Fan Yang
Xingyue Huang
41
0
0
21 Oct 2024
Tensor-Fused Multi-View Graph Contrastive Learning
Yujia Wu
Junyi Mo
Elynn Chen
Yuzhou Chen
29
1
0
20 Oct 2024
DMGNN: Detecting and Mitigating Backdoor Attacks in Graph Neural Networks
Hao Sui
Bing Chen
J. Zhang
Chengcheng Zhu
Di Wu
Qinghua Lu
Guodong Long
AAML
31
1
0
18 Oct 2024
G-Designer: Architecting Multi-agent Communication Topologies via Graph Neural Networks
Guibin Zhang
Yanwei Yue
Xiangguo Sun
Guancheng Wan
Miao Yu
Junfeng Fang
Kun Wang
Dawei Cheng
Dawei Cheng
AAML
AI4CE
46
7
0
15 Oct 2024
GETS: Ensemble Temperature Scaling for Calibration in Graph Neural Networks
Dingyi Zhuang
Chonghe Jiang
Yunhan Zheng
Shenhao Wang
Jinhua Zhao
UQCV
39
0
0
12 Oct 2024
KnowGraph: Knowledge-Enabled Anomaly Detection via Logical Reasoning on Graph Data
Andy Zhou
Xiaojun Xu
Ramesh Raghunathan
Alok Lal
Xinze Guan
Bin Yu
Bo Li
30
1
0
10 Oct 2024
Explaining Hypergraph Neural Networks: From Local Explanations to Global Concepts
Shiye Su
Iulia Duta
Lucie Charlotte Magister
Pietro Lio'
FAtt
34
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10 Oct 2024
On subdifferential chain rule of matrix factorization and beyond
Jiewen Guan
Anthony Man-Cho So
AI4CE
23
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0
07 Oct 2024
Defense-as-a-Service: Black-box Shielding against Backdoored Graph Models
Xiao Yang
Kai Zhou
Y. Lai
Gaolei Li
AAML
36
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0
07 Oct 2024
LinkThief: Combining Generalized Structure Knowledge with Node Similarity for Link Stealing Attack against GNN
Yuxing Zhang
Siyuan Meng
Chunchun Chen
Mengyao Peng
Hongyan Gu
Xinli Huang
29
1
0
01 Oct 2024
GUNDAM: Aligning Large Language Models with Graph Understanding
Sheng Ouyang
Yulan Hu
Ge Chen
Yong Liu
AI4CE
29
3
0
30 Sep 2024
FastGL: A GPU-Efficient Framework for Accelerating Sampling-Based GNN Training at Large Scale
Zeyu Zhu
Peisong Wang
Qinghao Hu
Gang Li
Xiaoyao Liang
Jian Cheng
GNN
32
1
0
23 Sep 2024
Preventing Representational Rank Collapse in MPNNs by Splitting the Computational Graph
Andreas Roth
Franka Bause
Nils M. Kriege
Thomas Liebig
33
3
0
17 Sep 2024
Heterogeneous Sheaf Neural Networks
Luke Braithwaite
Iulia Duta
Pietro Liò
28
1
0
12 Sep 2024
Enhancing Cross-Market Recommendation System with Graph Isomorphism Networks: A Novel Approach to Personalized User Experience
Sumeyye Ozturk
Ahmed Burak Ercan
Resul Tugay
Şule Gündüz Öğüdücü
31
0
0
12 Sep 2024
Do We Trust What They Say or What They Do? A Multimodal User Embedding Provides Personalized Explanations
Zhicheng Ren
Zhiping Xiao
Yizhou Sun
38
0
0
04 Sep 2024
Community-Centric Graph Unlearning
Yi Li
Shichao Zhang
Guixian Zhang
Debo Cheng
MU
24
0
0
19 Aug 2024
Scalable and Certifiable Graph Unlearning: Overcoming the Approximation Error Barrier
Lu Yi
Zhewei Wei
MU
61
0
0
17 Aug 2024
Dual-Channel Latent Factor Analysis Enhanced Graph Contrastive Learning for Recommendation
Junfeng Long
Hao Wu
43
0
0
09 Aug 2024
Beyond Over-smoothing: Uncovering the Trainability Challenges in Deep Graph Neural Networks
Jie Peng
Runlin Lei
Zhewei Wei
23
5
0
07 Aug 2024
Top K Enhanced Reinforcement Learning Attacks on Heterogeneous Graph Node Classification
Honglin Gao
Gaoxi Xiao
AAML
19
0
0
04 Aug 2024
A Survey of Mamba
Shuwei Shi
Shibing Chu
Rui An
Wenqi Fan
Yuee Xie
Hui Liu
Yuanping Chen
Qing Li
AI4CE
40
26
0
02 Aug 2024
Adversarial Text Rewriting for Text-aware Recommender Systems
Ganesh Ghalme
Reshef Meir
Srijan Kumar
42
0
0
01 Aug 2024
xAI-Drop: Don't Use What You Cannot Explain
Vincenzo Marco De Luca
Antonio Longa
Andrea Passerini
Pietro Lio'
45
0
0
29 Jul 2024
IDEA: A Flexible Framework of Certified Unlearning for Graph Neural Networks
Yushun Dong
Binchi Zhang
Zhenyu Lei
Na Zou
Jundong Li
MU
77
5
0
28 Jul 2024
Can Modifying Data Address Graph Domain Adaptation?
Renhong Huang
Jiarong Xu
Xin Jiang
Ruichuan An
Yang Yang
OOD
50
6
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27 Jul 2024
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
34
1
0
26 Jul 2024
Large-scale Time-Varying Portfolio Optimisation using Graph Attention Networks
Kamesh Korangi
Christophe Mues
Cristián Bravo
36
1
0
22 Jul 2024
LSM-GNN: Large-scale Storage-based Multi-GPU GNN Training by Optimizing Data Transfer Scheme
Jeongmin Brian Park
Kun Wu
Vikram Sharma Mailthody
Zaid Quresh
Scott Mahlke
Wen-mei W. Hwu
GNN
30
0
0
21 Jul 2024
Krait: A Backdoor Attack Against Graph Prompt Tuning
Ying Song
Rita Singh
Balaji Palanisamy
AAML
52
0
0
18 Jul 2024
Temporal receptive field in dynamic graph learning: A comprehensive analysis
Yannis Karmim
Leshanshui Yang
Raphael Fournier SÑiehotta
Clément Chatelain
Sébastien Adam
Nicolas Thome
30
1
0
17 Jul 2024
Watermarking Recommender Systems
Sixiao Zhang
Cheng Long
Wei Yuan
Hongxu Chen
Hongzhi Yin
AAML
32
0
0
17 Jul 2024
Core Knowledge Learning Framework for Graph Adaptation and Scalability Learning
Bowen Zhang
Zhichao Huang
Genan Dai
Guangning Xu
Xiaomao Fan
Hu Huang
36
0
0
02 Jul 2024
MuGSI: Distilling GNNs with Multi-Granularity Structural Information for Graph Classification
Tianjun Yao
Jiaqi Sun
Defu Cao
Kun Zhang
Guangyi Chen
37
5
0
28 Jun 2024
Improving the Expressiveness of
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-hop Message-Passing GNNs by Injecting Contextualized Substructure Information
Tianjun Yao
Yiongxu Wang
Kun Zhang
Shangsong Liang
38
11
0
27 Jun 2024
Conformalized Link Prediction on Graph Neural Networks
Tianyi Zhao
Jian Kang
Lu Cheng
37
6
0
26 Jun 2024
Sequence Graph Network for Online Debate Analysis
Quan Mai
Susan Gauch
Douglas Adams
Miaoqing Huang
26
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26 Jun 2024
Sketch-GNN: Scalable Graph Neural Networks with Sublinear Training Complexity
Mucong Ding
Tahseen Rabbani
Bang An
Evan Z Wang
Furong Huang
31
20
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21 Jun 2024
GraphKAN: Enhancing Feature Extraction with Graph Kolmogorov Arnold Networks
Fan Zhang
Xin Zhang
38
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19 Jun 2024
The Heterophilic Snowflake Hypothesis: Training and Empowering GNNs for Heterophilic Graphs
Kun Wang
Guibin Zhang
Xinnan Zhang
Junfeng Fang
Xun Wu
Guohao Li
Shirui Pan
Wei-Ming Huang
Yuxuan Liang
38
4
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18 Jun 2024
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