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Link Prediction Based on Graph Neural Networks
v1v2v3 (latest)

Link Prediction Based on Graph Neural Networks

Neural Information Processing Systems (NeurIPS), 2018
27 February 2018
Muhan Zhang
Yixin Chen
    GNN
ArXiv (abs)PDFHTML

Papers citing "Link Prediction Based on Graph Neural Networks"

50 / 883 papers shown
SPGNN: Recognizing Salient Subgraph Patterns via Enhanced Graph
  Convolution and Pooling
SPGNN: Recognizing Salient Subgraph Patterns via Enhanced Graph Convolution and Pooling
Zehao Dong
Muhan Zhang
Yixin Chen
205
0
0
21 Apr 2024
CORE: Data Augmentation for Link Prediction via Information Bottleneck
CORE: Data Augmentation for Link Prediction via Information Bottleneck
Kaiwen Dong
Zhichun Guo
Nitesh Chawla
157
0
0
17 Apr 2024
DEGNN: Dual Experts Graph Neural Network Handling Both Edge and Node
  Feature Noise
DEGNN: Dual Experts Graph Neural Network Handling Both Edge and Node Feature Noise
Tai Hasegawa
Sukwon Yun
Xin Liu
Yin Jun Phua
Tsuyoshi Murata
146
1
0
14 Apr 2024
Graph Chain-of-Thought: Augmenting Large Language Models by Reasoning on
  Graphs
Graph Chain-of-Thought: Augmenting Large Language Models by Reasoning on GraphsAnnual Meeting of the Association for Computational Linguistics (ACL), 2024
Sara Szymkuć
Chulin Xie
Jiawei Zhang
Kashob Kumar Roy
Yu Zhang
...
Ruirui Li
Xianfeng Tang
Suhang Wang
Yu Meng
Jiawei Han
LRMRALM
257
104
0
10 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
188
0
0
03 Apr 2024
GLEMOS: Benchmark for Instantaneous Graph Learning Model Selection
GLEMOS: Benchmark for Instantaneous Graph Learning Model SelectionNeural Information Processing Systems (NeurIPS), 2024
Namyong Park
Ryan Rossi
Xing Wang
Antoine Simoulin
Nesreen K. Ahmed
Christos Faloutsos
VLM
287
3
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
276
45
0
01 Apr 2024
Diffusion-based Negative Sampling on Graphs for Link Prediction
Diffusion-based Negative Sampling on Graphs for Link Prediction
Trung-Kien Nguyen
Yuan Fang
DiffM
149
20
0
25 Mar 2024
A Federated Parameter Aggregation Method for Node Classification Tasks
  with Different Graph Network Structures
A Federated Parameter Aggregation Method for Node Classification Tasks with Different Graph Network Structures
Hao Song
Jiacheng Yao
Zhengxi Li
Shaocong Xu
Shibo Jin
Jiajun Zhou
Chenbo Fu
Qi Xuan
Shanqing Yu
FedML
240
0
0
24 Mar 2024
Simple Graph Condensation
Simple Graph Condensation
Zhenbang Xiao
Yu Wang
Shunyu Liu
Huiqiong Wang
Mingli Song
Tongya Zheng
DD
377
11
0
22 Mar 2024
Knowledge-Enhanced Recommendation with User-Centric Subgraph Network
Knowledge-Enhanced Recommendation with User-Centric Subgraph Network
Guangyi Liu
Quanming Yao
Yongqi Zhang
Lei Chen
186
11
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
206
0
0
20 Mar 2024
Multi-Relational Graph Neural Network for Out-of-Domain Link Prediction
Multi-Relational Graph Neural Network for Out-of-Domain Link Prediction
Asma Sattar
Georgios Deligiorgis
Marco Trincavelli
Davide Bacciu
OOD
198
1
0
17 Mar 2024
Edge Private Graph Neural Networks with Singular Value Perturbation
Edge Private Graph Neural Networks with Singular Value Perturbation
Tingting Tang
Yue Niu
A. Avestimehr
Murali Annavaram
AAML
238
4
0
16 Mar 2024
Reproducibility and Geometric Intrinsic Dimensionality: An Investigation
  on Graph Neural Network Research
Reproducibility and Geometric Intrinsic Dimensionality: An Investigation on Graph Neural Network Research
Tobias Hille
Maximilian Stubbemann
Tom Hanika
AI4CE
261
0
0
13 Mar 2024
Addressing Shortcomings in Fair Graph Learning Datasets: Towards a New
  Benchmark
Addressing Shortcomings in Fair Graph Learning Datasets: Towards a New BenchmarkKnowledge Discovery and Data Mining (KDD), 2024
Xiaowei Qian
Zhimeng Guo
Jialiang Li
Haitao Mao
Bingheng Li
Suhang Wang
Yao Ma
223
7
0
09 Mar 2024
In-n-Out: Calibrating Graph Neural Networks for Link Prediction
In-n-Out: Calibrating Graph Neural Networks for Link Prediction
E. Nascimento
Diego Mesquita
Samuel Kaski
Amauri Souza
UQCV
203
2
0
07 Mar 2024
A Survey of Graph Neural Networks in Real world: Imbalance, Noise, Privacy and OOD Challenges
A Survey of Graph Neural Networks in Real world: Imbalance, Noise, Privacy and OOD ChallengesIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2024
Wei Ju
Siyu Yi
Yifan Wang
Zhiping Xiao
Zhengyan Mao
...
Nan Yin
Senzhang Wang
Xinwang Liu
Philip S. Yu
Ming Zhang
AI4CE
367
77
0
07 Mar 2024
Learning Invariant Representations of Graph Neural Networks via Cluster
  Generalization
Learning Invariant Representations of Graph Neural Networks via Cluster Generalization
Donglin Xia
Xiao Wang
Nian Liu
Chuan Shi
235
18
0
06 Mar 2024
Can Transformers Capture Spatial Relations between Objects?
Can Transformers Capture Spatial Relations between Objects?
Chuan Wen
Dinesh Jayaraman
Yang Gao
ViT
182
8
0
01 Mar 2024
Why Attention Graphs Are All We Need: Pioneering Hierarchical
  Classification of Hematologic Cell Populations with LeukoGraph
Why Attention Graphs Are All We Need: Pioneering Hierarchical Classification of Hematologic Cell Populations with LeukoGraph
Fatemeh Nassajian Mojarrad
Lorenzo Bini
Thomas Matthes
Stéphane Marchand-Maillet
222
1
0
28 Feb 2024
Geometric Deep Learning for Computer-Aided Design: A Survey
Geometric Deep Learning for Computer-Aided Design: A Survey
Negar Heidari
Alexandros Iosifidis
AI4CE3DPC3DV
352
13
0
27 Feb 2024
Graph Learning with Distributional Edge Layouts
Graph Learning with Distributional Edge Layouts
Xinjian Zhao
Chaolong Ying
Tianshu Yu
236
4
0
26 Feb 2024
A Comprehensive Survey on Artificial Intelligence for Complex Network: Potential, Methodology and Application
A Comprehensive Survey on Artificial Intelligence for Complex Network: Potential, Methodology and Application
Jingtao Ding
Chang Liu
Y. Zheng
Yunke Zhang
Zihan Yu
...
Hongyi Chen
J. Piao
Huandong Wang
Jiazhen Liu
Yong Li
AI4CE
320
13
0
23 Feb 2024
A unifying primary framework for quantum graph neural networks from
  quantum graph states
A unifying primary framework for quantum graph neural networks from quantum graph states
Ammar Daskin
GNN
297
3
0
20 Feb 2024
Adversarial Curriculum Graph Contrastive Learning with Pair-wise
  Augmentation
Adversarial Curriculum Graph Contrastive Learning with Pair-wise Augmentation
Xinjian Zhao
Liang Zhang
Yang Liu
Ruocheng Guo
Xiangyu Zhao
203
0
0
16 Feb 2024
Class-Balanced and Reinforced Active Learning on Graphs
Class-Balanced and Reinforced Active Learning on Graphs
Chengcheng Yu
Jiapeng Zhu
Xiang Li
352
1
0
15 Feb 2024
Node Duplication Improves Cold-start Link Prediction
Node Duplication Improves Cold-start Link Prediction
Zhichun Guo
Tong Zhao
Yozen Liu
Kaiwen Dong
William Shiao
Mingxuan Ju
Neil Shah
Nitesh Chawla
AI4CE
338
5
0
15 Feb 2024
Frequency-aware Graph Signal Processing for Collaborative Filtering
Frequency-aware Graph Signal Processing for Collaborative Filtering
Jiafeng Xia
Dongsheng Li
Hansu Gu
Tun Lu
Peng Zhang
Li Shang
Ning Gu
250
4
0
13 Feb 2024
Hierarchical Position Embedding of Graphs with Landmarks and Clustering
  for Link Prediction
Hierarchical Position Embedding of Graphs with Landmarks and Clustering for Link Prediction
Minsang Kim
Seung Baek
342
5
0
13 Feb 2024
NetInfoF Framework: Measuring and Exploiting Network Usable Information
NetInfoF Framework: Measuring and Exploiting Network Usable Information
Meng-Chieh Lee
Haiyang Yu
Jian Zhang
V. Ioannidis
Xiang Song
Soji Adeshina
Da Zheng
Christos Faloutsos
363
2
0
12 Feb 2024
Universal Link Predictor By In-Context Learning on Graphs
Universal Link Predictor By In-Context Learning on Graphs
Kaiwen Dong
Haitao Mao
Zhichun Guo
Nitesh Chawla
229
7
0
12 Feb 2024
HyperBERT: Mixing Hypergraph-Aware Layers with Language Models for Node
  Classification on Text-Attributed Hypergraphs
HyperBERT: Mixing Hypergraph-Aware Layers with Language Models for Node Classification on Text-Attributed HypergraphsConference on Empirical Methods in Natural Language Processing (EMNLP), 2024
A. Bazaga
Pietro Lio
G. Micklem
286
9
0
11 Feb 2024
GraphTranslator: Aligning Graph Model to Large Language Model for
  Open-ended Tasks
GraphTranslator: Aligning Graph Model to Large Language Model for Open-ended TasksThe Web Conference (WWW), 2024
Mengmei Zhang
Mingwei Sun
Peng Wang
Shen Fan
Yanhu Mo
Xiaoxiao Xu
Hong Liu
Cheng Yang
Chuan Shi
360
80
0
11 Feb 2024
Rethinking Node-wise Propagation for Large-scale Graph Learning
Rethinking Node-wise Propagation for Large-scale Graph Learning
Miao Hu
Jingyuan Ma
Zhengyu Wu
Daohan Su
Wentao Zhang
Ronghua Li
Guoren Wang
AI4CE
290
17
0
09 Feb 2024
Position: Graph Foundation Models are Already Here
Position: Graph Foundation Models are Already Here
Haitao Mao
Zhikai Chen
Wenzhuo Tang
Jianan Zhao
Yao Ma
Tong Zhao
Neil Shah
Mikhail Galkin
Shucheng Zhou
AI4CE
385
74
0
03 Feb 2024
L2G2G: a Scalable Local-to-Global Network Embedding with Graph
  Autoencoders
L2G2G: a Scalable Local-to-Global Network Embedding with Graph Autoencoders
Ruikang Ouyang
Andrew Elliott
Stratis Limnios
Mihai Cucuringu
Gesine Reinert
GNN
253
2
0
02 Feb 2024
TEDDY: Trimming Edges with Degree-based Discrimination strategY
TEDDY: Trimming Edges with Degree-based Discrimination strategY
Hyunjin Seo
Jihun Yun
Eunho Yang
272
3
0
02 Feb 2024
Two Heads Are Better Than One: Boosting Graph Sparse Training via
  Semantic and Topological Awareness
Two Heads Are Better Than One: Boosting Graph Sparse Training via Semantic and Topological Awareness
Guibin Zhang
Xinfeng Li
Kun Wang
Cunchun Li
Yongduo Sui
Kai Wang
Yuxuan Liang
Dawei Cheng
Shirui Pan
Tianlong Chen
193
14
0
02 Feb 2024
Attention-based Dynamic Multilayer Graph Neural Networks for Loan
  Default Prediction
Attention-based Dynamic Multilayer Graph Neural Networks for Loan Default Prediction
Sahab Zandi
Kamesh Korangi
María Óskarsdóttir
Christophe Mues
Cristián Bravo
199
26
0
01 Feb 2024
GraphViz2Vec: A Structure-aware Feature Generation Model to Improve
  Classification in GNNs
GraphViz2Vec: A Structure-aware Feature Generation Model to Improve Classification in GNNs
S. Chatterjee
Suman Kundu
124
0
0
30 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 RepresentationsIEEE Transactions on Big Data (IEEE Trans. Big Data), 2024
Jinlu Wang
Jipeng Guo
Yanfeng Sun
Junbin Gao
Shaofan Wang
Yachao Yang
Baocai Yin
AI4CE
266
8
0
28 Jan 2024
SupplyGraph: A Benchmark Dataset for Supply Chain Planning using Graph Neural Networks
SupplyGraph: A Benchmark Dataset for Supply Chain Planning using Graph Neural Networks
Azmine Toushik Wasi
MD Shafikul Islam
Adipto Raihan Akib
283
8
0
27 Jan 2024
LPNL: Scalable Link Prediction with Large Language Models
LPNL: Scalable Link Prediction with Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL), 2024
Baolong Bi
Shenghua Liu
Yiwei Wang
Lingrui Mei
Xueqi Cheng
LRM
222
10
0
24 Jan 2024
Tensor-view Topological Graph Neural Network
Tensor-view Topological Graph Neural NetworkInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2024
Tao Wen
Elynn Chen
Yuzhou Chen
486
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22 Jan 2024
Full-Body Motion Reconstruction with Sparse Sensing from Graph
  Perspective
Full-Body Motion Reconstruction with Sparse Sensing from Graph PerspectiveAAAI Conference on Artificial Intelligence (AAAI), 2024
Feiyu Yao
Zongkai Wu
Li Yi
3DH
169
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22 Jan 2024
LightDiC: A Simple yet Effective Approach for Large-scale Digraph
  Representation Learning
LightDiC: A Simple yet Effective Approach for Large-scale Digraph Representation LearningProceedings of the VLDB Endowment (PVLDB), 2024
Miao Hu
Meihao Liao
Zhengyu Wu
Daohan Su
Wentao Zhang
Ronghua Li
Guoren Wang
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212
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FedGTA: Topology-aware Averaging for Federated Graph Learning
FedGTA: Topology-aware Averaging for Federated Graph LearningProceedings of the VLDB Endowment (PVLDB), 2023
Miao Hu
Zhengyu Wu
Wentao Zhang
Yinlin Zhu
Ronghua Li
Guoren Wang
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211
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AdaFGL: A New Paradigm for Federated Node Classification with Topology
  Heterogeneity
AdaFGL: A New Paradigm for Federated Node Classification with Topology HeterogeneityIEEE International Conference on Data Engineering (ICDE), 2024
Miao Hu
Zhengyu Wu
Wentao Zhang
Henan Sun
Ronghua Li
Guoren Wang
FedML
215
22
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22 Jan 2024
Disentangled Condensation for Large-scale Graphs
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Zhenbang Xiao
Shunyu Liu
Yu Wang
Tongya Zheng
Weilong Dai
Mingli Song
Tongya Zheng
DD
631
11
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18 Jan 2024
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