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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 / 2,315 papers shown
Title
Pave Your Own Path: Graph Gradual Domain Adaptation on Fused Gromov-Wasserstein Geodesics
Pave Your Own Path: Graph Gradual Domain Adaptation on Fused Gromov-Wasserstein Geodesics
Zhichen Zeng
Ruizhong Qiu
Wenxuan Bao
Tianxin Wei
Xiao Lin
Yuchen Yan
Tarek Abdelzaher
Jiawei Han
Yangqiu Song
OOD
AI4CE
22
0
0
19 May 2025
GraphFLEx: Structure Learning Framework for Large Expanding Graphs
GraphFLEx: Structure Learning Framework for Large Expanding Graphs
Mohit Kataria
Nikita Malik
Sandeep Kumar
Jayadeva
GNN
38
0
0
18 May 2025
SenseFlow: A Physics-Informed and Self-Ensembling Iterative Framework for Power Flow Estimation
SenseFlow: A Physics-Informed and Self-Ensembling Iterative Framework for Power Flow Estimation
Zhen Zhao
Wenqi Huang
Zicheng Wang
Jiaxuan Hou
Peng Li
Lei Bai
30
0
0
18 May 2025
Finding Counterfactual Evidences for Node Classification
Finding Counterfactual Evidences for Node Classification
Dazhuo Qiu
Jinwen Chen
Arijit Khan
Yan Zhao
Francesco Bonchi
CML
33
0
0
16 May 2025
Relational Graph Transformer
Relational Graph Transformer
Vijay Prakash Dwivedi
Sri Jaladi
Yangyi Shen
Federico López
Charilaos I. Kanatsoulis
Rishi Puri
Matthias Fey
Jure Leskovec
32
0
0
16 May 2025
AW-GATCN: Adaptive Weighted Graph Attention Convolutional Network for Event Camera Data Joint Denoising and Object Recognition
AW-GATCN: Adaptive Weighted Graph Attention Convolutional Network for Event Camera Data Joint Denoising and Object Recognition
Haiyu Li
Charith Abhayaratne
24
0
0
16 May 2025
Negative Metric Learning for Graphs
Negative Metric Learning for Graphs
Yiyang Zhao
Chengpei Wu
Lilin Zhang
Ning Yang
31
0
0
15 May 2025
Schreier-Coset Graph Propagation
Schreier-Coset Graph Propagation
Aryan Mishra
Lizhen Lin
42
0
0
15 May 2025
Efficient Mixed Precision Quantization in Graph Neural Networks
Efficient Mixed Precision Quantization in Graph Neural Networks
Samir Moustafa
Nils M. Kriege
Wilfried Gansterer
GNN
MQ
40
0
0
14 May 2025
Enabling Group Fairness in Graph Unlearning via Bi-level Debiasing
Enabling Group Fairness in Graph Unlearning via Bi-level Debiasing
Yezi Liu
Prathyush Poduval
Wenjun Huang
Yang Ni
Hanning Chen
Mohsen Imani
MU
45
0
0
14 May 2025
MUST: Multi-Scale Structural-Temporal Link Prediction Model for UAV Ad Hoc Networks
MUST: Multi-Scale Structural-Temporal Link Prediction Model for UAV Ad Hoc Networks
Cunlai Pu
Fangrui Wu
Rajput Ramiz Sharafat
Guangzhao Dai
Xiangbo Shu
21
0
0
14 May 2025
SpecSphere: Dual-Pass Spectral-Spatial Graph Neural Networks with Certified Robustness
SpecSphere: Dual-Pass Spectral-Spatial Graph Neural Networks with Certified Robustness
Yoonhyuk Choi
Chong-Kwon Kim
39
0
0
13 May 2025
Open the Eyes of MPNN: Vision Enhances MPNN in Link Prediction
Open the Eyes of MPNN: Vision Enhances MPNN in Link Prediction
Yanbin Wei
Xuehao Wang
Zhan Zhuang
Yang Chen
Shuhao Chen
Yulong Zhang
Yu-Jie Zhang
James T. Kwok
44
1
0
13 May 2025
Exploiting Text Semantics for Few and Zero Shot Node Classification on Text-attributed Graph
Exploiting Text Semantics for Few and Zero Shot Node Classification on Text-attributed Graph
Yuxiang Wang
Xiao Yan
Shiyu Jin
Quanqing Xu
Chuang Hu
Yuanyuan Zhu
Bo Du
Jia Wu
Wentao Zhang
39
0
0
13 May 2025
Fused3S: Fast Sparse Attention on Tensor Cores
Fused3S: Fast Sparse Attention on Tensor Cores
Zitong Li
Aparna Chandramowlishwaran
GNN
52
0
0
12 May 2025
Tagging fully hadronic exotic decays of the vectorlike $\mathbf{B}$ quark using a graph neural network
Tagging fully hadronic exotic decays of the vectorlike B\mathbf{B}B quark using a graph neural network
Jai Bardhan
Tanumoy Mandal
Subhadip Mitra
Cyrin Neeraj
Mihir Rawat
28
0
0
12 May 2025
COMRECGC: Global Graph Counterfactual Explainer through Common Recourse
COMRECGC: Global Graph Counterfactual Explainer through Common Recourse
Gregoire Fournier
Sourav Medya
BDL
56
0
0
11 May 2025
Multi-Modal Molecular Representation Learning via Structure Awareness
Multi-Modal Molecular Representation Learning via Structure Awareness
Rong Yin
Ruyue Liu
Xiaoshuai Hao
Xingrui Zhou
Yang Liu
Can Ma
Weiping Wang
36
0
0
09 May 2025
Soft causal learning for generalized molecule property prediction: An environment perspective
Soft causal learning for generalized molecule property prediction: An environment perspective
Limin Li
Kuo Yang
Wenjie Du
Pengkun Wang
Zhengyang Zhou
Yang Wang
OOD
AI4CE
61
0
0
07 May 2025
Framework GNN-AID: Graph Neural Network Analysis Interpretation and Defense
Framework GNN-AID: Graph Neural Network Analysis Interpretation and Defense
Kirill Lukyanov
Mikhail Drobyshevskiy
Georgii Sazonov
Mikhail Soloviov
Ilya Makarov
GNN
56
0
0
06 May 2025
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
52
0
0
05 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
241
0
0
04 May 2025
Wide & Deep Learning for Node Classification
Wide & Deep Learning for Node Classification
Yancheng Chen
Wenguo Yang
Zhipeng Jiang
GNN
45
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
29
0
0
04 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
214
0
0
02 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
37
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0
02 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
52
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
GNN
AI4CE
61
0
0
30 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
49
0
0
29 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
31
0
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
226
1
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
87
1
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
51
0
0
29 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 S. Patwardhan
L. Vig
Gautam M. Shroff
LLMAG
AI4CE
242
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0
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Active Few-Shot Learning for Vertex Classification Starting from an Unlabeled Dataset
Active Few-Shot Learning for Vertex Classification Starting from an Unlabeled Dataset
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Marcel Hoffmann
A. Scherp
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254
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Efficient GNN Training Through Structure-Aware Randomized Mini-Batching
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Haggai Maron
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A Generative Graph Contrastive Learning Model with Global Signal
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Binyan Zhang
266
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Efficient Learning on Large Graphs using a Densifying Regularity Lemma
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Ben Finkelshtein
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Ron Levie
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Learning Isometric Embeddings of Road Networks using Multidimensional Scaling
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Geometry aware inference of steady state PDEs using Equivariant Neural Fields representations
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Michaël Bauerheim
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Xavier Bertrand
Joseph Morlier
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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
34
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Disentangled Graph Representation Based on Substructure-Aware Graph Optimal Matching Kernel Convolutional Networks
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Tao Wu
Xingping Xian
Shaojie Qiao
Weina Niu
Canyixing Cui
41
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ScaleGNN: Towards Scalable Graph Neural Networks via Adaptive High-order Neighboring Feature Fusion
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Haobing Liu
Jianpeng Qi
Yuan Cao
Guoqing Chao
Yanwei Yu
GNN
60
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OmniSage: Large Scale, Multi-Entity Heterogeneous Graph Representation Learning
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Anirudhan Badrinath
Alex Yang
Kousik Rajesh
Prabhat Agarwal
Jaewon Yang
Haoyu Chen
Jiajing Xu
Charles R. Rosenberg
AI4TS
35
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Hierarchical Vector Quantized Graph Autoencoder with Annealing-Based Code Selection
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Long Zeng
Jianxiang Yu
Jiapeng Zhu
Qingsong Zhong
Xiang Li
41
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Plain Transformers Can be Powerful Graph Learners
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Liheng Ma
Soumyasundar Pal
Yingxue Zhang
Philip Torr
Mark Coates
30
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Integrating Structural and Semantic Signals in Text-Attributed Graphs with BiGTex
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Azadeh Beiranvand
Seyed Mehdi Vahidipour
39
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Transfer Learning for Temporal Link Prediction
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Barbara Ikica
B. Ravandi
John Palowitch
39
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FROG: Effective Friend Recommendation in Online Games via Modality-aware User Preferences
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FairACE: Achieving Degree Fairness in Graph Neural Networks via Contrastive and Adversarial Group-Balanced Training
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Xiaoqian Jiang
Xuzhao Li
Bohan Zhang
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