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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
Grasp the Graph (GtG) 2.0: Ensemble of GNNs for High-Precision Grasp Pose Detection in Clutter
Grasp the Graph (GtG) 2.0: Ensemble of GNNs for High-Precision Grasp Pose Detection in Clutter
Ali Rashidi Moghadam
Sayedmohammadreza Rastegari
M. T. Masouleh
Ahmad Kalhor
100
0
0
05 May 2025
Wide & Deep Learning for Node Classification
Wide & Deep Learning for Node Classification
Yancheng Chen
Wenguo Yang
Zhipeng Jiang
GNN
112
0
0
04 May 2025
Deep Representation Learning for Electronic Design Automation
Deep Representation Learning for Electronic Design Automation
Pratik Shrestha
Saran Phatharodom
Alec Aversa
David Blankenship
Zhengfeng Wu
Ioannis Savidis
134
0
0
04 May 2025
GraphPrompter: Multi-stage Adaptive Prompt Optimization for Graph In-Context Learning
GraphPrompter: Multi-stage Adaptive Prompt Optimization for Graph In-Context Learning
Rui Lv
Zhenru Zhang
Kai Zhang
Qi Liu
Weibo Gao
Jing Liu
Jiaxia Yan
Linan Yue
Fangzhou Yao
426
0
0
04 May 2025
Scalability Matters: Overcoming Challenges in InstructGLM with Similarity-Degree-Based Sampling
Scalability Matters: Overcoming Challenges in InstructGLM with Similarity-Degree-Based Sampling
Hyun Lee
Chris Yi
Maminur Islam
B.D.S. Aritra
76
0
0
02 May 2025
Addressing Noise and Stochasticity in Fraud Detection for Service Networks
Addressing Noise and Stochasticity in Fraud Detection for Service Networks
Wenxin Zhang
Ding Xu
Xi Xuan
Lei Jiang
Guangzhen Yao
Renda Han
Xiangxiang Lang
Cuicui Luo
398
0
0
02 May 2025
From GNNs to Trees: Multi-Granular Interpretability for Graph Neural Networks
From GNNs to Trees: Multi-Granular Interpretability for Graph Neural Networks
Jie Yang
Yuwen Wang
Kaixuan Chen
Tongya Zheng
Yihe Zhou
Zhenbang Xiao
Ji Cao
Mingli Song
Shixuan Liu
AI4CE
114
1
0
01 May 2025
Graph Spectral Filtering with Chebyshev Interpolation for Recommendation
Graph Spectral Filtering with Chebyshev Interpolation for Recommendation
Chanwoo Kim
Jinkyu Sung
Yebonn Han
Joonseok Lee
GNN
102
0
0
01 May 2025
ABG-NAS: Adaptive Bayesian Genetic Neural Architecture Search for Graph Representation Learning
ABG-NAS: Adaptive Bayesian Genetic Neural Architecture Search for Graph Representation Learning
Sixuan Wang
Jiao Yin
Jinli Cao
MingJian Tang
Hua Wang
Yanchun Zhang
GNNAI4CE
134
0
0
30 Apr 2025
Frequency Feature Fusion Graph Network For Depression Diagnosis Via fNIRS
Frequency Feature Fusion Graph Network For Depression Diagnosis Via fNIRS
Chengkai Yang
Xingping Dong
Xiaofen Zong
75
0
0
29 Apr 2025
Understanding GNNs and Homophily in Dynamic Node Classification
Understanding GNNs and Homophily in Dynamic Node Classification
Michael Ito
Danai Koutra
Jenna Wiens
121
2
0
29 Apr 2025
Learning Laplacian Positional Encodings for Heterophilous Graphs
Learning Laplacian Positional Encodings for Heterophilous Graphs
Michael Ito
Jiong Zhu
Dexiong Chen
Danai Koutra
Jenna Wiens
387
2
0
29 Apr 2025
SFi-Former: Sparse Flow Induced Attention for Graph Transformer
SFi-Former: Sparse Flow Induced Attention for Graph Transformer
Zechao Li
J. Q. Shi
Xinming Zhang
Miao Zhang
B. Li
123
0
0
29 Apr 2025
JTreeformer: Graph-Transformer via Latent-Diffusion Model for Molecular Generation
JTreeformer: Graph-Transformer via Latent-Diffusion Model for Molecular Generation
J. Q. Shi
Chengxun Xie
Zhonghao Li
Xinming Zhang
Miao Zhang
MedIm
63
0
0
29 Apr 2025
Quantifying the Noise of Structural Perturbations on Graph Adversarial Attacks
Quantifying the Noise of Structural Perturbations on Graph Adversarial Attacks
Junyuan Fang
Han Yang
Haixian Wen
Jiajing Wu
Zibin Zheng
Chi K. Tse
AAML
112
0
0
29 Apr 2025
Heterophily-informed Message Passing
Heterophily-informed Message Passing
Haishan Wang
Arno Solin
Vikas Garg
128
0
0
28 Apr 2025
ResearchCodeAgent: An LLM Multi-Agent System for Automated Codification of Research Methodologies
ResearchCodeAgent: An LLM Multi-Agent System for Automated Codification of Research Methodologies
Shubham Gandhi
Dhruv Shah
Manasi Patwardhan
Lovekesh Vig
Gautam M. Shroff
LLMAGAI4CE
469
2
0
28 Apr 2025
HetGL2R: Learning to Rank Critical Road Segments via Attributed Heterogeneous Graph Random Walks
HetGL2R: Learning to Rank Critical Road Segments via Attributed Heterogeneous Graph Random Walks
Ming Xu
Jinrong Xiang
Zilong Xie
Xiangfu Meng
61
0
0
27 Apr 2025
A Survey of Task-Oriented Knowledge Graph Reasoning: Status, Applications, and Prospects
A Survey of Task-Oriented Knowledge Graph Reasoning: Status, Applications, and Prospects
Guanglin Niu
Bo Li
Yangguang Lin
LRM
59
0
0
27 Apr 2025
Efficient Learning on Large Graphs using a Densifying Regularity Lemma
Efficient Learning on Large Graphs using a Densifying Regularity Lemma
Jonathan Kouchly
Ben Finkelshtein
M. Bronstein
Ron Levie
94
0
0
25 Apr 2025
A Generative Graph Contrastive Learning Model with Global Signal
A Generative Graph Contrastive Learning Model with Global Signal
Xiaofan Wei
Binyan Zhang
467
0
0
25 Apr 2025
Active Few-Shot Learning for Vertex Classification Starting from an Unlabeled Dataset
Active Few-Shot Learning for Vertex Classification Starting from an Unlabeled Dataset
Felix Burr
Marcel Hoffmann
A. Scherp
SSL
409
0
0
25 Apr 2025
Efficient GNN Training Through Structure-Aware Randomized Mini-Batching
Efficient GNN Training Through Structure-Aware Randomized Mini-Batching
Vignesh Balaji
Christos Kozyrakis
Gal Chechik
Haggai Maron
GNN
78
1
0
25 Apr 2025
Geometry aware inference of steady state PDEs using Equivariant Neural Fields representations
Geometry aware inference of steady state PDEs using Equivariant Neural Fields representations
Giovanni Catalani
Michaël Bauerheim
Frédéric Tost
Xavier Bertrand
Joseph Morlier
AI4CE
89
2
0
24 Apr 2025
Learning Isometric Embeddings of Road Networks using Multidimensional Scaling
Learning Isometric Embeddings of Road Networks using Multidimensional Scaling
Juan Carlos Climent Pardo
189
0
0
24 Apr 2025
Disentangled Graph Representation Based on Substructure-Aware Graph Optimal Matching Kernel Convolutional Networks
Disentangled Graph Representation Based on Substructure-Aware Graph Optimal Matching Kernel Convolutional Networks
Mao Wang
Tao Wu
Xingping Xian
Shaojie Qiao
Weina Niu
Canyixing Cui
134
0
0
23 Apr 2025
MMHCL: Multi-Modal Hypergraph Contrastive Learning for Recommendation
MMHCL: Multi-Modal Hypergraph Contrastive Learning for Recommendation
Xu Guo
Tong Zhang
Fuyun Wang
Xudong Wang
Wei Wei
Xin Liu
Zhen Cui
84
0
0
23 Apr 2025
Improving Local Air Quality Predictions Using Transfer Learning on Satellite Data and Graph Neural Networks
Improving Local Air Quality Predictions Using Transfer Learning on Satellite Data and Graph Neural Networks
Finn Gueterbock
Raúl Santos-Rodríguez
Jeffrey N Clark
47
0
0
23 Apr 2025
Heterogeneous networks in drug-target interaction prediction
Heterogeneous networks in drug-target interaction prediction
Mohammad Molaee
Nasrollah Moghadam Charkari
Foad Ghaderi
127
0
0
22 Apr 2025
Benchmarking machine learning models for predicting aerofoil performance
Benchmarking machine learning models for predicting aerofoil performance
Oliver Summerell
Gerardo Aragon-Camarasa
Stephanie Ordonez Sanchez
60
0
0
22 Apr 2025
GraphEdge: Dynamic Graph Partition and Task Scheduling for GNNs Computing in Edge Network
GraphEdge: Dynamic Graph Partition and Task Scheduling for GNNs Computing in Edge Network
Wenjing Xiao
Chenglong Shi
Miaojiang Chen
Zhiquan Liu
Min Chen
Haiwen Song
62
0
0
22 Apr 2025
ScaleGNN: Towards Scalable Graph Neural Networks via Adaptive High-order Neighboring Feature Fusion
ScaleGNN: Towards Scalable Graph Neural Networks via Adaptive High-order Neighboring Feature Fusion
Xiang Li
Haobing Liu
Jianpeng Qi
Yuan Cao
Guoqing Chao
Yanwei Yu
Junyu Dong
Yanwei Yu
GNN
110
0
0
22 Apr 2025
FPGA-Based Neural Network Accelerators for Space Applications: A Survey
FPGA-Based Neural Network Accelerators for Space Applications: A Survey
Pedro Antunes
Artur Podobas
57
0
0
22 Apr 2025
OmniSage: Large Scale, Multi-Entity Heterogeneous Graph Representation Learning
OmniSage: Large Scale, Multi-Entity Heterogeneous Graph Representation Learning
Anirudhan Badrinath
Alex Yang
Kousik Rajesh
Prabhat Agarwal
Jaewon Yang
Haoyu Chen
Jiajing Xu
Charles R. Rosenberg
AI4TS
171
1
0
22 Apr 2025
Rhythm of Opinion: A Hawkes-Graph Framework for Dynamic Propagation Analysis
Rhythm of Opinion: A Hawkes-Graph Framework for Dynamic Propagation Analysis
Yulong Li
Zhixiang Lu
Feilong Tang
Simin Lai
Ming Hu
...
Haochen Xue
Zhaodong Wu
Imran Razzak
Qingxia Li
Jionglong Su
61
0
0
21 Apr 2025
FedC4: Graph Condensation Meets Client-Client Collaboration for Efficient and Private Federated Graph Learning
FedC4: Graph Condensation Meets Client-Client Collaboration for Efficient and Private Federated Graph Learning
Zekai Chen
Miao Hu
Yinlin Zhu
Rong-Hua Li
Guoren Wang
FedML
91
0
0
19 Apr 2025
Deep Learning on Graphs for Mobile Network Topology Generation
Deep Learning on Graphs for Mobile Network Topology Generation
Felix Nannesson Meli
Johan Tell
Shirwan Piroti
Tahar Zanouda
Elias Jarlebring
GNN
58
0
0
18 Apr 2025
Simplifying Graph Convolutional Networks with Redundancy-Free Neighbors
Simplifying Graph Convolutional Networks with Redundancy-Free Neighbors
Jielong Lu
Zhihao Wu
Zhiling Cai
Yueyang Pi
Shiping Wang
GNN
177
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0
18 Apr 2025
MEGA: Second-Order Gradient Alignment for Catastrophic Forgetting Mitigation in GFSCIL
MEGA: Second-Order Gradient Alignment for Catastrophic Forgetting Mitigation in GFSCIL
Jinhui Pang
Changqing Lin
Hao Lin
Jinglin He
Zhengjun Li
Zhihui Zhang
Xiaoshuai Hao
CLL
55
0
0
18 Apr 2025
Graph Learning at Scale: Characterizing and Optimizing Pre-Propagation GNNs
Graph Learning at Scale: Characterizing and Optimizing Pre-Propagation GNNs
Zichao Yue
Chenhui Deng
Zhiru Zhang
AI4CE
77
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0
17 Apr 2025
Hierarchical Vector Quantized Graph Autoencoder with Annealing-Based Code Selection
Hierarchical Vector Quantized Graph Autoencoder with Annealing-Based Code Selection
Long Zeng
Jianxiang Yu
Jiapeng Zhu
Qingsong Zhong
Xiang Li
72
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0
17 Apr 2025
H$^3$GNNs: Harmonizing Heterophily and Homophily in GNNs via Joint Structural Node Encoding and Self-Supervised Learning
H3^33GNNs: Harmonizing Heterophily and Homophily in GNNs via Joint Structural Node Encoding and Self-Supervised Learning
Rui Xue
Tianfu Wu
AI4CE
109
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0
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Extended Short- and Long-Range Mesh Learning for Fast and Generalized Garment Simulation
Extended Short- and Long-Range Mesh Learning for Fast and Generalized Garment Simulation
Aoran Liu
Kun Hu
Clinton Mo
Cuiping Li
Zhiyong Wang
3DHAI4CE
76
0
0
16 Apr 2025
Integrating Structural and Semantic Signals in Text-Attributed Graphs with BiGTex
Integrating Structural and Semantic Signals in Text-Attributed Graphs with BiGTex
Azadeh Beiranvand
Seyed Mehdi Vahidipour
83
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0
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Transfer Learning for Temporal Link Prediction
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Ayan Chatterjee
Barbara Ikica
B. Ravandi
John Palowitch
64
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0
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Trajectory Encoding Temporal Graph Networks
Trajectory Encoding Temporal Graph Networks
Jiafeng Xiong
Rizos Sakellariou
AI4CE
96
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0
15 Apr 2025
AI-Driven Code Refactoring: Using Graph Neural Networks to Enhance Software Maintainability
AI-Driven Code Refactoring: Using Graph Neural Networks to Enhance Software Maintainability
Gopichand Bandarupalli
42
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Ember: A Compiler for Efficient Embedding Operations on Decoupled Access-Execute Architectures
Ember: A Compiler for Efficient Embedding Operations on Decoupled Access-Execute Architectures
Marco Siracusa
Olivia Hsu
Victor Soria-Pardos
Joshua Randall
Arnaud Grasset
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Doug Joseph
Randy Allen
Fredrik Kjolstad
Miquel Moretó Planas
Adrià Armejach
89
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Towards Unbiased Federated Graph Learning: Label and Topology Perspectives
Towards Unbiased Federated Graph Learning: Label and Topology Perspectives
Zhengyu Wu
Boyang Pang
Miao Hu
Yinlin Zhu
Daohan Su
Bowen Fan
Rong-Hua Li
Guoren Wang
Chenghu Zhou
FedML
77
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FROG: Effective Friend Recommendation in Online Games via Modality-aware User Preferences
FROG: Effective Friend Recommendation in Online Games via Modality-aware User Preferences
Qiwei Wang
Dandan Lin
Wenqing Lin
Ziming Wu
OffRL
103
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