ResearchTrend.AI
  • Communities
  • Connect sessions
  • AI calendar
  • Organizations
  • Join Slack
  • Contact Sales
Papers
Communities
Social Events
Terms and Conditions
Pricing
Contact Sales
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1706.02216
  4. Cited By
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 / 6,260 papers shown
Title
Echoless Label-Based Pre-computation for Memory-Efficient Heterogeneous Graph Learning
Echoless Label-Based Pre-computation for Memory-Efficient Heterogeneous Graph Learning
Jun Hu
Shangheng Chen
Yufei He
Yuan N. Li
Bryan Hooi
Bingsheng He
31
0
0
14 Nov 2025
A Systematic Study of Model Extraction Attacks on Graph Foundation Models
A Systematic Study of Model Extraction Attacks on Graph Foundation Models
Haoyan Xu
Ruizhi Qian
Jiate Li
Yushun Dong
Minghao Lin
...
Qinghua Liu
Junhao Dong
Ruopeng Huang
Yue Zhao
Mengyuan Li
AAML
66
0
0
14 Nov 2025
Beyond the Laplacian: Interpolated Spectral Augmentation for Graph Neural Networks
Beyond the Laplacian: Interpolated Spectral Augmentation for Graph Neural Networks
Ziyao Cui
Edric Tam
124
0
0
14 Nov 2025
GraphSB: Boosting Imbalanced Node Classification on Graphs through Structural Balance
GraphSB: Boosting Imbalanced Node Classification on Graphs through Structural Balance
Chaofan Zhu
Xiaobing Rui
Zhixiao Wang
219
0
0
13 Nov 2025
HiLoMix: Robust High- and Low-Frequency Graph Learning Framework for Mixing Address Association
HiLoMix: Robust High- and Low-Frequency Graph Learning Framework for Mixing Address Association
X. Tu
Tiantian Duan
Shuyi Miao
Hanwen Zhang
Yi Sun
96
0
0
11 Nov 2025
BDD2Seq: Enabling Scalable Reversible-Circuit Synthesis via Graph-to-Sequence Learning
BDD2Seq: Enabling Scalable Reversible-Circuit Synthesis via Graph-to-Sequence Learning
Mingkai Miao
Jianheng Tang
Guangyu Hu
Hongce Zhang
164
0
0
11 Nov 2025
Enhancing Logical Expressiveness in Graph Neural Networks via Path-Neighbor Aggregation
Enhancing Logical Expressiveness in Graph Neural Networks via Path-Neighbor Aggregation
Han Yu
Xiaojuan Zhao
Aiping Li
Kai Chen
Ziniu Liu
Zhichao Peng
220
0
0
11 Nov 2025
Generalizable Insights for Graph Transformers in Theory and Practice
Generalizable Insights for Graph Transformers in Theory and Practice
Timo Stoll
Luis Muller
Christopher Morris
113
0
0
11 Nov 2025
Leveraging the Power of AI and Social Interactions to Restore Trust in Public Polls
Leveraging the Power of AI and Social Interactions to Restore Trust in Public Polls
Amr Akmal Abouelmagd
Amr Hilal
36
0
0
10 Nov 2025
On Stealing Graph Neural Network Models
On Stealing Graph Neural Network Models
Marcin Podhajski
Jan Dubiñski
Franziska Boenisch
Adam Dziedzic
Agnieszka Pregowska
Tomasz Michalak
258
0
0
10 Nov 2025
MG-HGNN: A Heterogeneous GNN Framework for Indoor Wi-Fi Fingerprint-Based Localization
MG-HGNN: A Heterogeneous GNN Framework for Indoor Wi-Fi Fingerprint-Based Localization
Yibu Wang
Zhaoxin Zhang
Ning Li
Xinlong Zhao
Dong Zhao
Tianzi Zhao
28
0
0
10 Nov 2025
Beyond Fixed Depth: Adaptive Graph Neural Networks for Node Classification Under Varying Homophily
Beyond Fixed Depth: Adaptive Graph Neural Networks for Node Classification Under Varying Homophily
Asela Hevapathige
Asiri Wijesinghe
Ahad N. Zehmakan
80
1
0
10 Nov 2025
CGLE: Class-label Graph Link Estimator for Link Prediction
CGLE: Class-label Graph Link Estimator for Link Prediction
Ankit Mazumder
Srikanta Bedathur
116
0
0
10 Nov 2025
Continual Learning of Domain Knowledge from Human Feedback in Text-to-SQL
Continual Learning of Domain Knowledge from Human Feedback in Text-to-SQL
Thomas Cook
Kelly Patel
Sivapriya Vellaichamy
Udari Madhushani Sehwag
Saba Rahimi
Zhen Zeng
Sumitra Ganesh
LLMAG
228
0
0
10 Nov 2025
Adaptive Initial Residual Connections for GNNs with Theoretical Guarantees
Adaptive Initial Residual Connections for GNNs with Theoretical Guarantees
Mohammad Shirzadi
Ali Safarpoor Dehkordi
Ahad N. Zehmakan
72
0
0
10 Nov 2025
Adaptive Multi-view Graph Contrastive Learning via Fractional-order Neural Diffusion Networks
Adaptive Multi-view Graph Contrastive Learning via Fractional-order Neural Diffusion Networks
Yanan Zhao
Feng Ji
Jingyang Dai
Jiaze Ma
Keyue Jiang
K. Zhao
Wee Peng Tay
DiffM
80
0
0
09 Nov 2025
Learning Time-Varying Graph Signals via Koopman
Learning Time-Varying Graph Signals via Koopman
S. Krishnan
Jinho Choi
Jihong Park
AI4TS
88
0
0
09 Nov 2025
Transolver is a Linear Transformer: Revisiting Physics-Attention through the Lens of Linear Attention
Transolver is a Linear Transformer: Revisiting Physics-Attention through the Lens of Linear Attention
Wenjie Hu
Sidun Liu
Peng Qiao
Zhenglun Sun
Yong Dou
AI4CE
259
0
0
09 Nov 2025
Resilience Inference for Supply Chains with Hypergraph Neural Network
Resilience Inference for Supply Chains with Hypergraph Neural Network
Zetian Shen
Hongjun Wang
Jiyuan Chen
Xuan Song
56
0
0
09 Nov 2025
How Wide and How Deep? Mitigating Over-Squashing of GNNs via Channel Capacity Constrained Estimation
How Wide and How Deep? Mitigating Over-Squashing of GNNs via Channel Capacity Constrained Estimation
Zinuo You
Jin Zheng
John Cartlidge
84
0
0
09 Nov 2025
Reperio-rPPG: Relational Temporal Graph Neural Networks for Periodicity Learning in Remote Physiological Measurement
Reperio-rPPG: Relational Temporal Graph Neural Networks for Periodicity Learning in Remote Physiological Measurement
Ba-Thinh Nguyen
Thach-Ha Ngoc Pham
Hoang-Long Duc Nguyen
Thi-Duyen Ngo
Thanh-Ha Le
AI4TS
285
0
0
08 Nov 2025
Integrating Temporal and Structural Context in Graph Transformers for Relational Deep Learning
Integrating Temporal and Structural Context in Graph Transformers for Relational Deep Learning
Divyansha Lachi
Mahmoud Mohammadi
Joe Meyer
Vinam Arora
Tom Palczewski
Eva L. Dyer
124
0
0
06 Nov 2025
FuseFlow: A Fusion-Centric Compilation Framework for Sparse Deep Learning on Streaming Dataflow
FuseFlow: A Fusion-Centric Compilation Framework for Sparse Deep Learning on Streaming Dataflow
Rubens Lacouture
Nathan Zhang
Ritvik Sharma
Marco Siracusa
Fredrik Kjolstad
K. Olukotun
Olivia Hsu
80
1
0
06 Nov 2025
GNN-MoE: Context-Aware Patch Routing using GNNs for Parameter-Efficient Domain Generalization
GNN-MoE: Context-Aware Patch Routing using GNNs for Parameter-Efficient Domain Generalization
Mahmoud Soliman
Omar Abdelaziz
Ahmed Radwan
Anand
Mohamed S. Shehata
MoE
343
0
0
06 Nov 2025
Personalized Image Editing in Text-to-Image Diffusion Models via Collaborative Direct Preference Optimization
Personalized Image Editing in Text-to-Image Diffusion Models via Collaborative Direct Preference Optimization
Connor Dunlop
Matthew Zheng
Kavana Venkatesh
Pinar Yanardag
DiffM
68
1
0
06 Nov 2025
Ada-FCN: Adaptive Frequency-Coupled Network for fMRI-Based Brain Disorder Classification
Ada-FCN: Adaptive Frequency-Coupled Network for fMRI-Based Brain Disorder ClassificationInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2025
Yue Xun
Jiaxing Xu
Wenbo Gao
Chen Yang
Shujun Wang
117
0
0
06 Nov 2025
AutoHood3D: A Multi-Modal Benchmark for Automotive Hood Design and Fluid-Structure Interaction
AutoHood3D: A Multi-Modal Benchmark for Automotive Hood Design and Fluid-Structure Interaction
Vansh Sharma
Harish Jai Ganesh
Maryam Akram
Wanjiao Liu
Venkat Raman
AI4CE
68
0
0
05 Nov 2025
GMoPE:A Prompt-Expert Mixture Framework for Graph Foundation Models
GMoPE:A Prompt-Expert Mixture Framework for Graph Foundation Models
Zhibin Wang
Zhixing Zhang
Shuqi Wang
Xuanting Xie
Zhao Kang
78
0
0
05 Nov 2025
Towards Scalable Web Accessibility Audit with MLLMs as Copilots
Towards Scalable Web Accessibility Audit with MLLMs as Copilots
Ming Gu
Ziwei Wang
Sicen Lai
Zirui Gao
Sheng Zhou
Jiajun Bu
84
0
0
05 Nov 2025
Sketch-Augmented Features Improve Learning Long-Range Dependencies in Graph Neural Networks
Sketch-Augmented Features Improve Learning Long-Range Dependencies in Graph Neural Networks
Ryien Hosseini
F. Simini
V. Vishwanath
Rebecca Willett
Henry Hoffmann
77
0
0
05 Nov 2025
BoolSkeleton: Boolean Network Skeletonization via Homogeneous Pattern Reduction
BoolSkeleton: Boolean Network Skeletonization via Homogeneous Pattern ReductionIEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD), 2025
Liwei Ni
Jiaxi Zhang
Shenggen Zheng
Junfeng Liu
Xingyu Meng
Biwei Xie
Xingquan Li
Huawei Li
106
0
0
04 Nov 2025
Digital Twin-Driven Pavement Health Monitoring and Maintenance Optimization Using Graph Neural Networks
Digital Twin-Driven Pavement Health Monitoring and Maintenance Optimization Using Graph Neural Networks
Mohsin Mahmud Topu
Mahfuz Ahmed Anik
Azmine Toushik Wasi
Md Manjurul Ahsan
AI4CE
92
0
0
04 Nov 2025
Object Detection as an Optional Basis: A Graph Matching Network for Cross-View UAV Localization
Object Detection as an Optional Basis: A Graph Matching Network for Cross-View UAV Localization
T. Liu
Kan Ren
Qian Chen
168
0
0
04 Nov 2025
Rethinking LLM Human Simulation: When a Graph is What You Need
Rethinking LLM Human Simulation: When a Graph is What You Need
Joseph Suh
Suhong Moon
Serina Chang
AI4CE
117
0
0
03 Nov 2025
Predicting Microbial Interactions Using Graph Neural Networks
Predicting Microbial Interactions Using Graph Neural Networks
Elham Gholamzadeh
Kajal Singla
Nico Scherf
37
0
0
03 Nov 2025
WindMiL: Equivariant Graph Learning for Wind Loading Prediction
WindMiL: Equivariant Graph Learning for Wind Loading Prediction
Themistoklis Vargiemezis
Charilaos Kanatsoulis
Catherine Gorlé
208
0
0
03 Nov 2025
Leveraging Compact Satellite Embeddings and Graph Neural Networks for Large-Scale Poverty Mapping
Leveraging Compact Satellite Embeddings and Graph Neural Networks for Large-Scale Poverty Mapping
Markus Pettersson
Adel Daoud
148
0
0
03 Nov 2025
A Framework Based on Graph Cellular Automata for Similarity Evaluation in Urban Spatial Networks
A Framework Based on Graph Cellular Automata for Similarity Evaluation in Urban Spatial Networks
Peiru Wu
Maojun Zhai
Lingzhu Zhang
84
0
0
02 Nov 2025
G2rammar: Bilingual Grammar Modeling for Enhanced Text-attributed Graph Learning
G2rammar: Bilingual Grammar Modeling for Enhanced Text-attributed Graph Learning
Heng Zheng
Haochen You
Zijun Liu
Zijian Zhang
Lubin Gan
Hao Zhang
Wenjun Huang
J. Huang
108
0
0
02 Nov 2025
Simple and Behavior-Driven Augmentation for Recommendation with Rich Collaborative Signals
Simple and Behavior-Driven Augmentation for Recommendation with Rich Collaborative Signals
Doyun Choi
Cheonwoo Lee
Jaemin Yoo
147
0
0
01 Nov 2025
Spectral Neural Graph Sparsification
Spectral Neural Graph Sparsification
Angelica Liguori
Ettore Ritacco
Pietro Sabatino
Annalisa Socievole
60
1
0
31 Oct 2025
H3M-SSMoEs: Hypergraph-based Multimodal Learning with LLM Reasoning and Style-Structured Mixture of Experts
H3M-SSMoEs: Hypergraph-based Multimodal Learning with LLM Reasoning and Style-Structured Mixture of Experts
Peilin Tan
Liang Xie
Churan Zhi
Dian Tu
Chuanqi Shi
AIFin
263
0
0
29 Oct 2025
Robust GNN Watermarking via Implicit Perception of Topological Invariants
Robust GNN Watermarking via Implicit Perception of Topological Invariants
Jipeng Li
Yannning Shen
AAML
77
0
0
29 Oct 2025
Subgraph Federated Learning via Spectral Methods
Subgraph Federated Learning via Spectral Methods
Javad Aliakbari
Johan Ostman
Ashkan Panahi
Alexandre Graell i Amat
FedML
151
0
0
29 Oct 2025
Resource Allocation in Hybrid Radio-Optical IoT Networks using GNN with Multi-task Learning
Resource Allocation in Hybrid Radio-Optical IoT Networks using GNN with Multi-task Learning
Aymen Hamrouni
S. Pollin
Hazem Sallouha
44
0
0
29 Oct 2025
MaGNet: A Mamba Dual-Hypergraph Network for Stock Prediction via Temporal-Causal and Global Relational Learning
MaGNet: A Mamba Dual-Hypergraph Network for Stock Prediction via Temporal-Causal and Global Relational Learning
Peilin Tan
Chuanqi Shi
Dian Tu
Liang Xie
AIFinAI4TS
226
0
0
29 Oct 2025
Bridging the Divide: End-to-End Sequence-Graph Learning
Bridging the Divide: End-to-End Sequence-Graph Learning
Yuen Chen
Yulun Wu
Samuel Sharpe
Igor Melnyk
Nam Nguyen
Furong Huang
C. Bayan Bruss
Rizal Fathony
74
0
0
29 Oct 2025
Graph-Attentive MAPPO for Dynamic Retail Pricing
Graph-Attentive MAPPO for Dynamic Retail Pricing
Krishna Kumar Neelakanta Pillai Santha Kumari Amma
44
0
0
28 Oct 2025
Geometric Algorithms for Neural Combinatorial Optimization with Constraints
Geometric Algorithms for Neural Combinatorial Optimization with Constraints
Nikolaos Karalias
Akbar Rafiey
Yifei Xu
Zhishang Luo
B. Tahmasebi
Connie Jiang
Stefanie Jegelka
106
0
0
28 Oct 2025
From Cross-Task Examples to In-Task Prompts: A Graph-Based Pseudo-Labeling Framework for In-context Learning
From Cross-Task Examples to In-Task Prompts: A Graph-Based Pseudo-Labeling Framework for In-context Learning
Zihan Chen
Song Wang
Xingbo Fu
Chengshuai Shi
Zhenyu Lei
Cong Shen
Jundong Li
116
1
0
28 Oct 2025
Previous
12345...124125126
Next