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Inductive Representation Learning on Large Graphs
v1v2v3v4 (latest)

Inductive Representation Learning on Large Graphs

7 June 2017
William L. Hamilton
Z. Ying
J. Leskovec
ArXiv (abs)PDFHTML

Papers citing "Inductive Representation Learning on Large Graphs"

50 / 5,528 papers shown
Title
m4: A Learned Flow-level Network Simulator
Chenning Li
Anton A. Zabreyko
Arash Nasr-Esfahany
Kevin Zhao
Prateesh Goyal
Mohammad Alizadeh
Thomas Anderson
79
0
0
03 Mar 2025
Depth-Adaptive Graph Neural Networks via Learnable Bakry-Émery Curvature
Asela Hevapathige
Ahad N. Zehmakan
Qing Wang
101
0
0
03 Mar 2025
Effective High-order Graph Representation Learning for Credit Card Fraud Detection
Yao Zou
Dawei Cheng
134
1
0
03 Mar 2025
Enhancing Social Media Rumor Detection: A Semantic and Graph Neural Network Approach for the 2024 Global Election
Liu Yan
Liu Yunpeng
Zhao Liang
96
0
0
03 Mar 2025
\textsc{Perseus}: Tracing the Masterminds Behind Cryptocurrency Pump-and-Dump Schemes
Honglin Fu
Yebo Feng
Yanwei Yue
Jiahua Xu
AIFin
73
0
0
03 Mar 2025
How Low Can You Go? Searching for the Intrinsic Dimensionality of Complex Networks using Metric Node Embeddings
Nikolaos Nakis
Niels Raunkjær Holm
Andreas Lyhne Fiehn
Morten Mørup
113
0
0
03 Mar 2025
A Transfer Framework for Enhancing Temporal Graph Learning in Data-Scarce Settings
Sidharth Agarwal
Tanishq Dubey
Shubham Gupta
Srikanta J. Bedathur
AI4TSAI4CE
79
0
0
02 Mar 2025
Hierarchical graph sampling based minibatch learning with chain preservation and variance reduction
Hierarchical graph sampling based minibatch learning with chain preservation and variance reduction
Qia Hu
Bo Jiao
83
0
0
02 Mar 2025
Edge Prompt Tuning for Graph Neural Networks
Xingbo Fu
Yinhan He
Jundong Li
134
1
0
02 Mar 2025
CAGN-GAT Fusion: A Hybrid Contrastive Attentive Graph Neural Network for Network Intrusion Detection
CAGN-GAT Fusion: A Hybrid Contrastive Attentive Graph Neural Network for Network Intrusion Detection
Md Abrar Jahin
Siyang Song
M. F. Mridha
Raihan Kabir
Md. Rashedul Islam
Yutaka Watanobe
Hezerul Abdul Karim
113
0
0
02 Mar 2025
Large Engagement Networks for Classifying Coordinated Campaigns and Organic Twitter Trends
Large Engagement Networks for Classifying Coordinated Campaigns and Organic Twitter Trends
Atul Anand Gopalakrishnan
Jakir Hossain
Tugrulcan Elmas
Ahmet Erdem Sariyuce
GNN
103
1
0
01 Mar 2025
Channel-Attentive Graph Neural Networks
Tuğrul Hasan Karabulut
İnci M. Baytaş
117
0
0
01 Mar 2025
Performance Heterogeneity in Graph Neural Networks: Lessons for Architecture Design and Preprocessing
Lukas Fesser
Melanie Weber
75
0
0
01 Mar 2025
A Fused Gromov-Wasserstein Approach to Subgraph Contrastive Learning
A Fused Gromov-Wasserstein Approach to Subgraph Contrastive Learning
Amadou S. Sangare
Nicolas Dunou
Jhony H. Giraldo
Fragkiskos D. Malliaros
SSL
129
1
0
28 Feb 2025
A Survey of Link Prediction in Temporal Networks
A Survey of Link Prediction in Temporal Networks
Jiafeng Xiong
Ahmad Zareie
Rizos Sakellariou
AI4TSAI4CE
83
2
0
28 Feb 2025
Accurate and Scalable Graph Neural Networks via Message Invariance
Accurate and Scalable Graph Neural Networks via Message Invariance
Zhihao Shi
Jie Wang
Zhiwei Zhuang
Xize Liang
Bin Li
Feng Wu
142
1
0
27 Feb 2025
Minds on the Move: Decoding Trajectory Prediction in Autonomous Driving with Cognitive Insights
Minds on the Move: Decoding Trajectory Prediction in Autonomous Driving with Cognitive Insights
Haicheng Liao
Chengyue Wang
Kaiqun Zhu
Yilong Ren
Bolin Gao
Shengbo Eben Li
Chengzhong Xu
Hui Yuan
110
3
0
27 Feb 2025
Exploring Graph Tasks with Pure LLMs: A Comprehensive Benchmark and Investigation
Exploring Graph Tasks with Pure LLMs: A Comprehensive Benchmark and Investigation
Yansen Wang
Xinnan Dai
Wenqi Fan
Yao Ma
144
2
0
26 Feb 2025
Corporate Fraud Detection in Rich-yet-Noisy Financial Graph
Corporate Fraud Detection in Rich-yet-Noisy Financial Graph
Shiqi Wang
Zhibo Zhang
Libing Fang
Cam-Tu Nguyen
Wenzhon Li
140
0
0
26 Feb 2025
Joint Optimal Transport and Embedding for Network Alignment
Joint Optimal Transport and Embedding for Network Alignment
Qi Yu
Zhichen Zeng
Yuchen Yan
Lei Ying
R. Srikant
Hanghang Tong
OT
524
3
0
26 Feb 2025
Neural Network Graph Similarity Computation Based on Graph Fusion
Neural Network Graph Similarity Computation Based on Graph Fusion
Zenghui Chang
Yiqiao Zhang
Hong Cai Chen
GNN
112
0
0
25 Feb 2025
Structural Alignment Improves Graph Test-Time Adaptation
Structural Alignment Improves Graph Test-Time Adaptation
Hans Hao-Hsun Hsu
Shikun Liu
Han Zhao
Pan Li
OODTTA
313
0
0
25 Feb 2025
Are GNNs doomed by the topology of their input graph?
Are GNNs doomed by the topology of their input graph?
Amine Mohamed Aboussalah
Abdessalam Ed-dib
65
1
0
25 Feb 2025
Armada: Memory-Efficient Distributed Training of Large-Scale Graph Neural Networks
Armada: Memory-Efficient Distributed Training of Large-Scale Graph Neural Networks
R. Waleffe
Devesh Sarda
J. Mohoney
Emmanouil-Vasileios Vlatakis-Gkaragkounis
Theodoros Rekatsinas
Shivaram Venkataraman
GNN
137
0
0
25 Feb 2025
Understanding the Design Principles of Link Prediction in Directed Settings
Understanding the Design Principles of Link Prediction in Directed Settings
Jun Zhai
Muberra Ozmen
Thomas Markovich
AI4CE
79
0
0
24 Feb 2025
VGFL-SA: Vertical Graph Federated Learning Structure Attack Based on Contrastive Learning
VGFL-SA: Vertical Graph Federated Learning Structure Attack Based on Contrastive Learning
Yang Chen
Bin Zhou
AAMLFedML
65
0
0
24 Feb 2025
Graph Neural Diffusion Networks for Semi-supervised Learning
Graph Neural Diffusion Networks for Semi-supervised Learning
Wei Ye
Zexi Huang
Yunqi Hong
Ambuj K. Singh
GNN
220
3
0
24 Feb 2025
Geometric Properties and Graph-Based Optimization of Neural Networks: Addressing Non-Linearity, Dimensionality, and Scalability
Michael Wienczkowski
Addisu Desta
Paschal Ugochukwu
AI4CEGNN
75
0
0
24 Feb 2025
Learning Backbones: Sparsifying Graphs through Zero Forcing for Effective Graph-Based Learning
Learning Backbones: Sparsifying Graphs through Zero Forcing for Effective Graph-Based Learning
O. Ahmad
Anwar Said
Mudassir Shabbir
X. Koutsoukos
W. Abbas
108
0
0
24 Feb 2025
Graph Perceiver IO: A General Architecture for Graph Structured Data
Graph Perceiver IO: A General Architecture for Graph Structured Data
Seyun Bae
Hoyoon Byun
Changdae Oh
Yoon-Sik Cho
Kyungwoo Song
GNN
258
3
0
24 Feb 2025
Detecting Code Vulnerabilities with Heterogeneous GNN Training
Detecting Code Vulnerabilities with Heterogeneous GNN Training
Yu Luo
Weifeng Xu
Dianxiang Xu
113
0
0
24 Feb 2025
Scalable Graph Condensation with Evolving Capabilities
Scalable Graph Condensation with Evolving Capabilities
Shengbo Gong
Mohammad Hashemi
Juntong Ni
Carl Yang
Wei Jin
140
3
0
24 Feb 2025
GraphFM: Graph Factorization Machines for Feature Interaction Modeling
GraphFM: Graph Factorization Machines for Feature Interaction Modeling
Shu Wu
Zekun Li
Yunyue Su
Zeyu Cui
Xiaoyu Zhang
Liang Wang
285
23
0
24 Feb 2025
Virtual Nodes Can Help: Tackling Distribution Shifts in Federated Graph Learning
Virtual Nodes Can Help: Tackling Distribution Shifts in Federated Graph Learning
Xingbo Fu
Zihan Chen
Yinhan He
Song Wang
Binchi Zhang
Chen Chen
Jundong Li
OODFedML
193
1
0
24 Feb 2025
Scale-Free Graph-Language Models
Scale-Free Graph-Language Models
Jianglin Lu
Yixuan Liu
Yitian Zhang
Y. Fu
113
1
0
24 Feb 2025
FanChuan: A Multilingual and Graph-Structured Benchmark For Parody Detection and Analysis
FanChuan: A Multilingual and Graph-Structured Benchmark For Parody Detection and Analysis
Yilun Zheng
Sha Li
Fangkun Wu
Yang Ziyi
Lin Hongchao
...
Ziming Wang
Jinxuan Chen
Sitao Luan
Jiahao Xu
Lihui Chen
119
0
0
23 Feb 2025
MAPN: Enhancing Heterogeneous Sparse Graph Representation by Mamba-based Asynchronous Aggregation
Xuqi Mao
Zhenying He
Xiaoyang Sean Wang
120
0
0
23 Feb 2025
Interpretable Retinal Disease Prediction Using Biology-Informed Heterogeneous Graph Representations
Interpretable Retinal Disease Prediction Using Biology-Informed Heterogeneous Graph Representations
Laurin Lux
Alexander H. Berger
Maria Romeo Tricas
Alaa E. Fayed
Siyang Song
Linus Kreitner
Jonas Weidner
Fernando Navarro
Daniel Rueckert
Johannes C. Paetzold
86
2
0
23 Feb 2025
FHGE: A Fast Heterogeneous Graph Embedding with Ad-hoc Meta-paths
Xuqi Mao
Zhenying He
Xiaoyang Sean Wang
103
1
0
22 Feb 2025
Graph Self-Supervised Learning with Learnable Structural and Positional Encodings
Graph Self-Supervised Learning with Learnable Structural and Positional Encodings
Asiri Wijesinghe
Hao Zhu
Piotr Koniusz
127
1
0
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Co-evolution-based Metal-binding Residue Prediction with Graph Neural Networks
Sayedmohammadreza Rastegari
Sina Tabakhi
Xianyuan Liu
Wei Sang
Haiping Lu
AI4CE
85
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0
22 Feb 2025
Interpreting core forms of urban morphology linked to urban functions with explainable graph neural network
Dongsheng Chen
Yu Feng
Xun Li
Mingya Qu
Peng Luo
Liqiu Meng
HAIAI4CE
91
2
0
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Advanced Text Analytics -- Graph Neural Network for Fake News Detection in Social Media
Anantram Patel
Vijay Kumar Sutrakar
84
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0
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Separated Contrastive Learning for Matching in Cross-domain Recommendation with Curriculum Scheduling
Heng Chang
Liang Gu
Cheng Hu
Zhinan Zhang
Hong Zhu
Yuhui Xu
Yuan Fang
Zhen Chen
103
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0
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Connecting the geometry and dynamics of many-body complex systems with message passing neural operators
N. Gabriel
N. Johnson
George Em Karniadakis
AI4CE
121
0
0
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Position: Graph Learning Will Lose Relevance Due To Poor Benchmarks
Position: Graph Learning Will Lose Relevance Due To Poor Benchmarks
Maya Bechler-Speicher
Ben Finkelshtein
Fabrizio Frasca
Luis Muller
Jan Tönshoff
...
Michael M. Bronstein
Mathias Niepert
Bryan Perozzi
Mikhail Galkin
Christopher Morris
OOD
260
7
0
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Robust Tumor Segmentation with Hyperspectral Imaging and Graph Neural Networks
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Mayar Lotfy
Anna Alperovich
Tommaso Giannantonio
Bjorn Barz
Xiaohan Zhang
...
Nassir Navab
F. Boehm
Carolin Schwamborn
Thomas K. Hoffmann
PatrickJ. Schuler
294
1
0
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Democratizing Large Language Model-Based Graph Data Augmentation via Latent Knowledge Graphs
Democratizing Large Language Model-Based Graph Data Augmentation via Latent Knowledge Graphs
Yushi Feng
Tsai Hor Chan
Guosheng Yin
Lequan Yu
118
1
0
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Homophily Heterogeneity Matters in Graph Federated Learning: A Spectrum Sharing and Complementing Perspective
Homophily Heterogeneity Matters in Graph Federated Learning: A Spectrum Sharing and Complementing Perspective
Wentao Yu
FedML
107
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0
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Heterophily-Aware Fair Recommendation using Graph Convolutional Networks
Heterophily-Aware Fair Recommendation using Graph Convolutional Networks
Nemat Gholinejad
M. H. Chehreghani
296
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