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Inductive Representation Learning on Large Graphs

Inductive Representation Learning on Large Graphs

7 June 2017
William L. Hamilton
Z. Ying
J. Leskovec
ArXivPDFHTML

Papers citing "Inductive Representation Learning on Large Graphs"

50 / 4,462 papers shown
Title
Circuit Representation Learning with Masked Gate Modeling and Verilog-AIG Alignment
Circuit Representation Learning with Masked Gate Modeling and Verilog-AIG Alignment
Haoyuan Wu
Haisheng Zheng
Yuan Pu
Bei Yu
66
1
0
18 Feb 2025
Unveiling Mode Connectivity in Graph Neural Networks
Unveiling Mode Connectivity in Graph Neural Networks
Bingheng Li
Z. Chen
Haoyu Han
Shenglai Zeng
J. Liu
Jiliang Tang
53
0
0
18 Feb 2025
UniGO: A Unified Graph Neural Network for Modeling Opinion Dynamics on Graphs
UniGO: A Unified Graph Neural Network for Modeling Opinion Dynamics on Graphs
Hao Li
Hao Jiang
Yuke Zheng
Hao Sun
Wenying Gong
38
0
0
17 Feb 2025
Hierarchical Graph Topic Modeling with Topic Tree-based Transformer
Hierarchical Graph Topic Modeling with Topic Tree-based Transformer
Delvin Ce Zhang
Menglin Yang
Xiaobao Wu
Jiasheng Zhang
Hady W. Lauw
57
0
0
17 Feb 2025
On Vanishing Gradients, Over-Smoothing, and Over-Squashing in GNNs: Bridging Recurrent and Graph Learning
On Vanishing Gradients, Over-Smoothing, and Over-Squashing in GNNs: Bridging Recurrent and Graph Learning
Alvaro Arroyo
Alessio Gravina
Benjamin Gutteridge
Federico Barbero
Claudio Gallicchio
Xiaowen Dong
Michael M. Bronstein
P. Vandergheynst
44
4
0
15 Feb 2025
Recent Advances in Malware Detection: Graph Learning and Explainability
Recent Advances in Malware Detection: Graph Learning and Explainability
Hossein Shokouhinejad
Roozbeh Razavi-Far
Hesamodin Mohammadian
Mahdi Rabbani
Samuel Ansong
Griffin Higgins
Ali Ghorbani
AAML
83
2
0
14 Feb 2025
Graph Diffusion Network for Drug-Gene Prediction
Graph Diffusion Network for Drug-Gene Prediction
Jiayang Wu
Wensheng Gan
Philip S. Yu
MedIm
68
0
0
13 Feb 2025
Unlocking the Potential of Classic GNNs for Graph-level Tasks: Simple Architectures Meet Excellence
Unlocking the Potential of Classic GNNs for Graph-level Tasks: Simple Architectures Meet Excellence
Yuankai Luo
Lei Shi
Xiao-Ming Wu
AI4CE
74
0
0
13 Feb 2025
Enhancing the Utility of Higher-Order Information in Relational Learning
Enhancing the Utility of Higher-Order Information in Relational Learning
Raphael Pellegrin
Lukas Fesser
Melanie Weber
109
0
0
13 Feb 2025
Machine learning for modelling unstructured grid data in computational physics: a review
Machine learning for modelling unstructured grid data in computational physics: a review
Sibo Cheng
Marc Bocquet
Weiping Ding
Tobias S. Finn
Rui Fu
...
Yong Zeng
Mingrui Zhang
Hao Zhou
Kewei Zhu
Rossella Arcucci
PINN
AI4CE
121
0
0
13 Feb 2025
GCoT: Chain-of-Thought Prompt Learning for Graphs
GCoT: Chain-of-Thought Prompt Learning for Graphs
Xingtong Yu
Chang Zhou
Zhongwei Kuai
Xinming Zhang
Yuan Fang
LRM
82
2
0
12 Feb 2025
CurvGAD: Leveraging Curvature for Enhanced Graph Anomaly Detection
CurvGAD: Leveraging Curvature for Enhanced Graph Anomaly Detection
Karish Grover
Geoffrey J. Gordon
Christos Faloutsos
78
0
0
12 Feb 2025
MixDec Sampling: A Soft Link-based Sampling Method of Graph Neural Network for Recommendation
MixDec Sampling: A Soft Link-based Sampling Method of Graph Neural Network for Recommendation
Xiangjin Xie
Yiran Chen
Ruipeng Wang
Kai Ouyang
Zihan Zhang
...
Buyue Qian
Hansen Zheng
Bo Hu
Chengxiang Zhuo
Zang Li
74
3
0
12 Feb 2025
Enhanced Load Forecasting with GAT-LSTM: Leveraging Grid and Temporal Features
Enhanced Load Forecasting with GAT-LSTM: Leveraging Grid and Temporal Features
Ugochukwu Orji
Çiçek Güven
Dan Stowell
AI4TS
55
0
0
12 Feb 2025
HiPoNet: A Topology-Preserving Multi-View Neural Network For High Dimensional Point Cloud and Single-Cell Data
HiPoNet: A Topology-Preserving Multi-View Neural Network For High Dimensional Point Cloud and Single-Cell Data
Siddharth Viswanath
Hiren Madhu
Dhananjay Bhaskar
Jake Kovalic
Dave Johnson
Rex Ying
Christopher J. Tape
Ian M. Adelstein
Michael Perlmutter
Smita Krishnaswamy
3DPC
95
1
0
11 Feb 2025
Generative Risk Minimization for Out-of-Distribution Generalization on Graphs
Generative Risk Minimization for Out-of-Distribution Generalization on Graphs
Song Wang
Zhen Tan
Yaochen Zhu
Chuxu Zhang
Wenlin Yao
OOD
103
0
0
11 Feb 2025
Effects of Random Edge-Dropping on Over-Squashing in Graph Neural Networks
Effects of Random Edge-Dropping on Over-Squashing in Graph Neural Networks
Jasraj Singh
Keyue Jiang
Brooks Paige
Laura Toni
75
1
0
11 Feb 2025
RelGNN: Composite Message Passing for Relational Deep Learning
RelGNN: Composite Message Passing for Relational Deep Learning
Tianlang Chen
Charilaos I. Kanatsoulis
Jure Leskovec
GNN
AI4CE
59
2
0
10 Feb 2025
Prompt-Driven Continual Graph Learning
Prompt-Driven Continual Graph Learning
Qi Wang
Tianfei Zhou
Ye Yuan
Rui Mao
CLL
52
0
0
10 Feb 2025
DeepMill: Neural Accessibility Learning for Subtractive Manufacturing
Fanchao Zhong
Yang Wang
Peng Wang
Lin Lu
Haisen Zhao
HAI
86
0
0
10 Feb 2025
Survey on Recent Progress of AI for Chemistry: Methods, Applications, and Opportunities
Survey on Recent Progress of AI for Chemistry: Methods, Applications, and Opportunities
Ding Hu
Pengxiang Hua
Zhen Huang
97
0
0
09 Feb 2025
GOLD: Graph Out-of-Distribution Detection via Implicit Adversarial Latent Generation
GOLD: Graph Out-of-Distribution Detection via Implicit Adversarial Latent Generation
Danny Wang
Ruihong Qiu
Guangdong Bai
Zi Huang
209
2
0
09 Feb 2025
CORRECT: Context- and Reference-Augmented Reasoning and Prompting for Fact-Checking
CORRECT: Context- and Reference-Augmented Reasoning and Prompting for Fact-Checking
Delvin Ce Zhang
Dongwon Lee
HILM
LRM
79
0
0
09 Feb 2025
Norm Augmented Graph AutoEncoders for Link Prediction
Yunhui Liu
Huaisong Zhang
Xinyi Gao
Liuye Guo
Zhen Tao
Tieke He
48
0
0
09 Feb 2025
LRA-GNN: Latent Relation-Aware Graph Neural Network with Initial and Dynamic Residual for Facial Age Estimation
Yiping Zhang
Yuntao Shou
Wei Ai
Tao Meng
Keqin Li
CVBM
71
1
0
08 Feb 2025
MDE: Modality Discrimination Enhancement for Multi-modal Recommendation
MDE: Modality Discrimination Enhancement for Multi-modal Recommendation
Hang Zhou
Yucheng Wang
Huijing Zhan
50
0
0
08 Feb 2025
Bridging Traffic State and Trajectory for Dynamic Road Network and Trajectory Representation Learning
Bridging Traffic State and Trajectory for Dynamic Road Network and Trajectory Representation Learning
Chengkai Han
Jingyuan Wang
Y. Wang
Xie Yu
Hao Lin
Chao Li
Junjie Wu
AI4TS
72
1
0
08 Feb 2025
Prediction of the Most Fire-Sensitive Point in Building Structures with Differentiable Agents for Thermal Simulators
Prediction of the Most Fire-Sensitive Point in Building Structures with Differentiable Agents for Thermal Simulators
Yuan Xinjie
Khalid M. Mosalam
AI4CE
78
0
0
05 Feb 2025
Aggregate to Adapt: Node-Centric Aggregation for Multi-Source-Free Graph Domain Adaptation
Aggregate to Adapt: Node-Centric Aggregation for Multi-Source-Free Graph Domain Adaptation
Zhen Zhang
Bingsheng He
111
2
0
05 Feb 2025
Using Random Noise Equivariantly to Boost Graph Neural Networks Universally
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Xuben Wang
Muhan Zhang
107
0
0
04 Feb 2025
EdgeGFL: Rethinking Edge Information in Graph Feature Preference Learning
EdgeGFL: Rethinking Edge Information in Graph Feature Preference Learning
Shengda Zhuo
Jiwang Fang
Hongguang Lin
Yin Tang
Min Chen
Changdong Wang
Shuqiang Huang
61
0
0
04 Feb 2025
Towards graph neural networks for provably solving convex optimization problems
Towards graph neural networks for provably solving convex optimization problems
Chendi Qian
Christopher Morris
61
0
0
04 Feb 2025
Unified Spatial-Temporal Edge-Enhanced Graph Networks for Pedestrian Trajectory Prediction
Unified Spatial-Temporal Edge-Enhanced Graph Networks for Pedestrian Trajectory Prediction
Ruochen Li
Tanqiu Qiao
Stamos Katsigiannis
Zhanxing Zhu
Hubert P. H. Shum
AI4TS
70
1
0
04 Feb 2025
Learning Efficient Positional Encodings with Graph Neural Networks
Learning Efficient Positional Encodings with Graph Neural Networks
Charilaos I. Kanatsoulis
Evelyn Choi
Stephanie Jegelka
Jure Leskovec
Alejandro Ribeiro
78
2
0
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Leveraging Joint Predictive Embedding and Bayesian Inference in Graph Self Supervised Learning
Leveraging Joint Predictive Embedding and Bayesian Inference in Graph Self Supervised Learning
Srinitish Srinivasan
Omkumar CU
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BDL
56
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DeepGate4: Efficient and Effective Representation Learning for Circuit Design at Scale
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Ziyang Zheng
Shan Huang
Jianyuan Zhong
Zhengyuan Shi
Guohao Dai
Ningyi Xu
Qiang Xu
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98
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UPL: Uncertainty-aware Pseudo-labeling for Imbalance Transductive Node Classification
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Mohammad T. Teimuri
Zahra Dehghanian
Gholamali Aminian
Hamid R. Rabiee
60
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AGNNCert: Defending Graph Neural Networks against Arbitrary Perturbations with Deterministic Certification
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Binghui Wang
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61
2
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Generic Multimodal Spatially Graph Network for Spatially Embedded Network Representation Learning
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Jürgen Hackl
75
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Spectro-Riemannian Graph Neural Networks
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Karish Grover
Haiyang Yu
Xiang Song
Qi Zhu
Han Xie
V. Ioannidis
Christos Faloutsos
78
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GraphMinNet: Learning Dependencies in Graphs with Light Complexity Minimal Architecture
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Andrew Cheng
Qiang Ye
Q. Cheng
GNN
63
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Resolving Oversmoothing with Opinion Dissensus
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Keqin Wang
Yulong Yang
Ishan Saha
Christine Allen-Blanchette
62
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Gradual Domain Adaptation for Graph Learning
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Pui Ieng Lei
Ximing Chen
Yijun Sheng
Yanyan Liu
J. Guo
Zhiguo Gong
OOD
56
0
0
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Rethinking Functional Brain Connectome Analysis: Do Graph Deep Learning Models Help?
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Keqi Han
Yao Su
Lifang He
Liang Zhan
Sergey Plis
Vince D. Calhoun
Carl Yang
AI4CE
55
1
0
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Graph Condensation: A Survey
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Xin Gao
Junliang Yu
Wei Jiang
Tong Chen
Wentao Zhang
Hongzhi Yin
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106
19
0
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Cross-modal Context Fusion and Adaptive Graph Convolutional Network for Multimodal Conversational Emotion Recognition
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Xueyan Fan
260
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MAPPING: Debiasing Graph Neural Networks for Fair Node Classification with Limited Sensitive Information Leakage
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Ying Song
Balaji Palanisamy
90
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Graph Neural Preconditioners for Iterative Solutions of Sparse Linear Systems
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Jie Chen
AI4CE
71
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Large Language Model-based Augmentation for Imbalanced Node Classification on Text-Attributed Graphs
Large Language Model-based Augmentation for Imbalanced Node Classification on Text-Attributed Graphs
Leyao Wang
Yu-Chiang Frank Wang
Bo Ni
Yuying Zhao
Tyler Derr
56
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41
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