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Inductive Representation Learning on Large Graphs
v1v2v3v4 (latest)

Inductive Representation Learning on Large Graphs

Neural Information Processing Systems (NeurIPS), 2017
7 June 2017
William L. Hamilton
Z. Ying
J. Leskovec
ArXiv (abs)PDFHTML

Papers citing "Inductive Representation Learning on Large Graphs"

50 / 6,261 papers shown
Title
Detecting LLM-Generated Spam Reviews by Integrating Language Model Embeddings and Graph Neural Network
Detecting LLM-Generated Spam Reviews by Integrating Language Model Embeddings and Graph Neural Network
Xin Liu
Rongwu Xu
X. Jia
Jason Liao
Jiao Sun
Ling Huang
Wei Xu
DeLMO
165
0
0
02 Oct 2025
Heterogeneous Graph Representation of Stiffened Panels with Non-Uniform Boundary Conditions and Loads
Heterogeneous Graph Representation of Stiffened Panels with Non-Uniform Boundary Conditions and Loads
Yuecheng Cai
J. Jelovica
108
1
0
02 Oct 2025
Fine-Grained Urban Traffic Forecasting on Metropolis-Scale Road Networks
Fine-Grained Urban Traffic Forecasting on Metropolis-Scale Road Networks
Fedor Velikonivtsev
Oleg Platonov
Gleb Bazhenov
Liudmila Prokhorenkova
AI4TS
99
0
0
02 Oct 2025
Are LLMs Better GNN Helpers? Rethinking Robust Graph Learning under Deficiencies with Iterative Refinement
Are LLMs Better GNN Helpers? Rethinking Robust Graph Learning under Deficiencies with Iterative Refinement
Zhaoyan Wang
Zheng Gao
Arogya Kharel
In-Young Ko
92
0
0
02 Oct 2025
GDLNN: Marriage of Programming Language and Neural Networks for Accurate and Easy-to-Explain Graph Classification
GDLNN: Marriage of Programming Language and Neural Networks for Accurate and Easy-to-Explain Graph Classification
Minseok Jeon
Seunghyun Park
72
0
0
01 Oct 2025
Type-Less yet Type-Aware Inductive Link Prediction with Pretrained Language Models
Type-Less yet Type-Aware Inductive Link Prediction with Pretrained Language Models
Alessandro De Bellis
Salvatore Bufi
Giovanni Servedio
Vito Walter Anelli
Tommaso Di Noia
E. Sciascio
81
0
0
30 Sep 2025
Graph Foundation Models: Bridging Language Model Paradigms and Graph Optimization
Graph Foundation Models: Bridging Language Model Paradigms and Graph Optimization
Yunhao Liang
Pujun Zhang
Yuan Qu
Shaochong Lin
Zuo-Jun Max Shen
AI4CE
94
0
0
29 Sep 2025
Community detection robustness of graph neural networks
Community detection robustness of graph neural networks
Jaidev Goel
Pablo Moriano
Ramakrishnan Kannan
Yulia R. Gel
AAML
64
0
0
29 Sep 2025
AttentionViG: Cross-Attention-Based Dynamic Neighbor Aggregation in Vision GNNs
AttentionViG: Cross-Attention-Based Dynamic Neighbor Aggregation in Vision GNNs
Hakan Emre Gedik
Andrew Martin
Mustafa Munir
Oguzhan Baser
R. Marculescu
Sandeep Chinchali
Alan C. Bovik
ViT
85
0
0
29 Sep 2025
GESA: Graph-Enhanced Semantic Allocation for Generalized, Fair, and Explainable Candidate-Role Matching
GESA: Graph-Enhanced Semantic Allocation for Generalized, Fair, and Explainable Candidate-Role Matching
Rishi Ashish Shah
Shivaay Dhondiyal
Kartik Sharma
Sukriti Talwar
Saksham Jain
Sparsh Jain
37
0
0
29 Sep 2025
LLM/Agent-as-Data-Analyst: A Survey
LLM/Agent-as-Data-Analyst: A Survey
Zirui Tang
Weizheng Wang
Z. Zhou
Yang Jiao
Bangrui Xu
...
Conghui He
Bin Wang
Conghui He
Xiaoyang Wang
Fan Wu
186
6
0
28 Sep 2025
GraphIFE: Rethinking Graph Imbalance Node Classification via Invariant Learning
GraphIFE: Rethinking Graph Imbalance Node Classification via Invariant Learning
Fanlong Zeng
Wensheng Gan
Philip S. Yu
AI4CE
75
0
0
28 Sep 2025
Graph Mixing Additive Networks
Graph Mixing Additive Networks
Maya Bechler-Speicher
Andrea Zerio
Maor Huri
Marie Vibeke Vestergaard
Ran Gilad-Bachrach
Tine Jess
Samir Bhatt
Aleksejs Sazonovs
112
0
0
28 Sep 2025
Node Classification via Simplicial Interaction with Augmented Maximal Clique Selection
Node Classification via Simplicial Interaction with Augmented Maximal Clique Selection
Eunho Koo
Tongseok Lim
48
0
0
28 Sep 2025
Pure Node Selection for Imbalanced Graph Node Classification
Pure Node Selection for Imbalanced Graph Node Classification
Fanlong Zeng
Wensheng Gan
Jiayang Wu
Philip S. Yu
72
0
0
28 Sep 2025
CrediBench: Building Web-Scale Network Datasets for Information Integrity
CrediBench: Building Web-Scale Network Datasets for Information Integrity
Emma Kondrup
Sebastian Sabry
Hussein Abdallah
Zachary Yang
James Zhou
Kellin Pelrine
Jean-Francois Godbout
Michael M. Bronstein
Reihaneh Rabbany
Shenyang Huang
300
0
0
27 Sep 2025
Learning the Neighborhood: Contrast-Free Multimodal Self-Supervised Molecular Graph Pretraining
Learning the Neighborhood: Contrast-Free Multimodal Self-Supervised Molecular Graph Pretraining
Boshra Ariguib
Mathias Niepert
Andrei Manolache
SSL
172
0
0
26 Sep 2025
Neighborhood Sampling Does Not Learn the Same Graph Neural Network
Neighborhood Sampling Does Not Learn the Same Graph Neural Network
Zehao Niu
M. Anitescu
Jie Chen
GNN
124
0
0
26 Sep 2025
TRACE: Learning to Compute on Graphs
TRACE: Learning to Compute on Graphs
Ziyang Zheng
Jiaying Zhu
Jingyi Zhou
Qiang Xu
104
0
0
26 Sep 2025
FedCF: Fair Federated Conformal Prediction
FedCF: Fair Federated Conformal Prediction
Anutam Srinivasan
Aditya T. Vadlamani
Amin Meghrazi
Srinivasan Parthasarathy
FedML
132
0
0
26 Sep 2025
Patient-specific Biomolecular Instruction Tuning
Patient-specific Biomolecular Instruction Tuning
Irsyad Adam
Zekai Chen
David Laub
Shaun Porwal
Arda Pekis
Kevin Brown
73
0
0
26 Sep 2025
SHAKE-GNN: Scalable Hierarchical Kirchhoff-Forest Graph Neural Network
SHAKE-GNN: Scalable Hierarchical Kirchhoff-Forest Graph Neural Network
Zhipu Cui
Johannes Lutzeyer
GNN
111
0
0
26 Sep 2025
Lexicon-Enriched Graph Modeling for Arabic Document Readability Prediction
Lexicon-Enriched Graph Modeling for Arabic Document Readability Prediction
Passant Elchafei
Mayar Osama
Mohamed Rageh
Mervat Abuelkheir
34
0
0
26 Sep 2025
Structure-Attribute Transformations with Markov Chain Boost Graph Domain Adaptation
Structure-Attribute Transformations with Markov Chain Boost Graph Domain Adaptation
Zhen Liu
Yongtao Zhang
Shaobo Ren
Yuxin You
86
0
0
25 Sep 2025
SlideMamba: Entropy-Based Adaptive Fusion of GNN and Mamba for Enhanced Representation Learning in Digital Pathology
SlideMamba: Entropy-Based Adaptive Fusion of GNN and Mamba for Enhanced Representation Learning in Digital Pathology
Shakib Khan
Fariba Dambandkhameneh
N. Shaikh
Yao Nie
Raghavan Venugopal
Xiao Li
Mamba
120
1
0
25 Sep 2025
FracAug: Fractional Augmentation boost Graph-level Anomaly Detection under Limited Supervision
FracAug: Fractional Augmentation boost Graph-level Anomaly Detection under Limited Supervision
Xiangyu Dong
Xingyi Zhang
Sibo Wang
80
0
0
25 Sep 2025
Enhancing Molecular Property Prediction with Knowledge from Large Language Models
Enhancing Molecular Property Prediction with Knowledge from Large Language Models
Peng Zhou
Lai Hou Tim
Zhixiang Cheng
Kun Xie
Chaoyi Li
Wei Liu
Xiangxiang Zeng
92
0
0
25 Sep 2025
ArtUV: Artist-style UV Unwrapping
ArtUV: Artist-style UV Unwrapping
Yihao Chen
Xinhai Liu
Yang Li
Victor Cheung
Zhuo Chen
D. Zhang
Chunchao Guo
72
0
0
25 Sep 2025
GraphPFN: A Prior-Data Fitted Graph Foundation Model
GraphPFN: A Prior-Data Fitted Graph Foundation Model
Dmitry Eremeev
Oleg Platonov
Gleb Bazhenov
Artem Babenko
Liudmila Prokhorenkova
AI4CE
162
1
0
25 Sep 2025
EvoMail: Self-Evolving Cognitive Agents for Adaptive Spam and Phishing Email Defense
EvoMail: Self-Evolving Cognitive Agents for Adaptive Spam and Phishing Email Defense
Wei Huang
De-Tian Chu
Lin-Yuan Bai
Wei Kang
H. Zhang
Bo Li
Zhi-Mo Han
Jing Ge
H. Lin
AAML
132
0
0
25 Sep 2025
GraphUniverse: Enabling Systematic Evaluation of Inductive Generalization
GraphUniverse: Enabling Systematic Evaluation of Inductive Generalization
Louis Van Langendonck
Guillermo Bernardez
Nina Miolane
Pere Barlet-Ros
88
0
0
25 Sep 2025
Spatio-Temporal Directed Graph Learning for Account Takeover Fraud Detection
Spatio-Temporal Directed Graph Learning for Account Takeover Fraud Detection
Mohsen Nayebi Kerdabadi
William Andrew Byron
Xin Sun
Amirfarrokh Iranitalab
88
0
0
24 Sep 2025
Unmasking Fake Careers: Detecting Machine-Generated Career Trajectories via Multi-layer Heterogeneous Graphs
Unmasking Fake Careers: Detecting Machine-Generated Career Trajectories via Multi-layer Heterogeneous Graphs
Michiharu Yamashita
Thanh-Binh Tran
Delvin Ce Zhang
Dongwon Lee
109
0
0
24 Sep 2025
MIXRAG : Mixture-of-Experts Retrieval-Augmented Generation for Textual Graph Understanding and Question Answering
MIXRAG : Mixture-of-Experts Retrieval-Augmented Generation for Textual Graph Understanding and Question Answering
Lihui Liu
Carl J. Yang
88
0
0
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Transformer Modeling for Both Scalability and Performance in Multivariate Time Series
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Hunjae Lee
Corey Clark
68
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0
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Actions Speak Louder than Prompts: A Large-Scale Study of LLMs for Graph Inference
Actions Speak Louder than Prompts: A Large-Scale Study of LLMs for Graph Inference
Ben Finkelshtein
Silviu Cucerzan
S. Jauhar
Ryen W. White
156
0
0
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Graph Neural Networks with Similarity-Navigated Probabilistic Feature Copying
Graph Neural Networks with Similarity-Navigated Probabilistic Feature Copying
Asela Hevapathige
128
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0
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ViG-LRGC: Vision Graph Neural Networks with Learnable Reparameterized Graph Construction
ViG-LRGC: Vision Graph Neural Networks with Learnable Reparameterized Graph Construction
Ismael Elsharkawi
Hossam Sharara
Ahmed Rafea
88
0
0
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Graph-Radiomic Learning (GrRAiL) Descriptor to Characterize Imaging Heterogeneity in Confounding Tumor Pathologies
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Dheerendranath Battalapalli
Apoorva Safai
Maria Jaramillo
Hyemin Um
Gustavo Adalfo Pineda Ortiz
Ulas Bagci
M. Ahluwalia
Marwa Ismail
Pallavi Tiwari
67
0
0
23 Sep 2025
GnnXemplar: Exemplars to Explanations -- Natural Language Rules for Global GNN Interpretability
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Burouj Armgaan
Eshan Jain
Harsh Pandey
Mahesh Chandran
Jignesh M. Patel
LLMAG
301
0
0
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Robust Anomaly Detection Under Normality Distribution Shift in Dynamic Graphs
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Xiaoyang Xu
Xiaofeng Lin
Koh Takeuchi
Kyohei Atarashi
H. Kashima
120
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0
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Self-Supervised Discovery of Neural Circuits in Spatially Patterned Neural Responses with Graph Neural Networks
Self-Supervised Discovery of Neural Circuits in Spatially Patterned Neural Responses with Graph Neural Networks
Kijung Yoon
GNN
112
0
0
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Self-Supervised Learning of Graph Representations for Network Intrusion Detection
Self-Supervised Learning of Graph Representations for Network Intrusion Detection
Lorenzo Guerra
Thomas Chapuis
Guillaume Duc
Pavlo Mozharovskyi
Van-Tam Nguyen
SSL
187
0
0
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Automated Cyber Defense with Generalizable Graph-based Reinforcement Learning Agents
Automated Cyber Defense with Generalizable Graph-based Reinforcement Learning Agents
Isaiah J. King
Benjamin Bowman
H. H. Huang
GNN
127
0
0
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TF-DWGNet: A Directed Weighted Graph Neural Network with Tensor Fusion for Multi-Omics Cancer Subtype Classification
TF-DWGNet: A Directed Weighted Graph Neural Network with Tensor Fusion for Multi-Omics Cancer Subtype Classification
Tiantian Yang
Zhiqian Chen
MedIm
53
0
0
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LC-SLab -- An Object-based Deep Learning Framework for Large-scale Land Cover Classification from Satellite Imagery and Sparse In-situ Labels
LC-SLab -- An Object-based Deep Learning Framework for Large-scale Land Cover Classification from Satellite Imagery and Sparse In-situ Labels
Johannes Leonhardt
Juergen Gall
R. Roscher
100
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0
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Polynomial Contrastive Learning for Privacy-Preserving Representation Learning on Graphs
Polynomial Contrastive Learning for Privacy-Preserving Representation Learning on Graphs
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68
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Physics-Informed GCN-LSTM Framework for Long-Term Forecasting of 2D and 3D Microstructure Evolution
Physics-Informed GCN-LSTM Framework for Long-Term Forecasting of 2D and 3D Microstructure Evolution
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Nele Moelans
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Towards Pre-trained Graph Condensation via Optimal Transport
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Yeyu Yan
Shuai Zheng
Wenjun Hui
Xiangkai Zhu
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Zhenfeng Zhu
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224
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HSGM: Hierarchical Segment-Graph Memory for Scalable Long-Text Semantics
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