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Gated Graph Sequence Neural Networks

Gated Graph Sequence Neural Networks

17 November 2015
Yujia Li
Daniel Tarlow
Marc Brockschmidt
R. Zemel
    GNN
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Papers citing "Gated Graph Sequence Neural Networks"

50 / 1,389 papers shown
Title
Visual Affordances: Enabling Robots to Understand Object Functionality
Visual Affordances: Enabling Robots to Understand Object Functionality
Tommaso Apicella
Alessio Xompero
Andrea Cavallaro
43
0
0
08 May 2025
Graph Fourier Transformer with Structure-Frequency Information
Graph Fourier Transformer with Structure-Frequency Information
Yonghui Zhai
Yang Zhang
Minghao Shang
Lihua Pang
Yaxin Ren
38
0
0
28 Apr 2025
Learning Hierarchical Interaction for Accurate Molecular Property Prediction
Learning Hierarchical Interaction for Accurate Molecular Property Prediction
Huiyang Hong
Xinkai Wu
Hongyu Sun
Chaoyang Xie
Qi Wang
Yongqian Li
38
0
0
28 Apr 2025
AsyReC: A Multimodal Graph-based Framework for Spatio-Temporal Asymmetric Dyadic Relationship Classification
AsyReC: A Multimodal Graph-based Framework for Spatio-Temporal Asymmetric Dyadic Relationship Classification
Wang Tang
Fethiye Irmak Dogan
Linbo Qing
Hatice Gunes
35
0
0
07 Apr 2025
Graph Attention for Heterogeneous Graphs with Positional Encoding
Graph Attention for Heterogeneous Graphs with Positional Encoding
Nikhil Shivakumar Nayak
GNN
58
0
0
03 Apr 2025
Flexible and Explainable Graph Analysis for EEG-based Alzheimer's Disease Classification
Flexible and Explainable Graph Analysis for EEG-based Alzheimer's Disease Classification
Jing Wang
Jun-En Ding
Feng Liu
Elisa Kallioniemi
Shuqiang Wang
Wen-Xiang Tsai
A. Yang
OOD
48
0
0
02 Apr 2025
Enhancing Software Vulnerability Detection Using Code Property Graphs and Convolutional Neural Networks
Enhancing Software Vulnerability Detection Using Code Property Graphs and Convolutional Neural Networks
Amanpreet Singh Saimbhi
48
0
0
23 Mar 2025
Learning Privacy from Visual Entities
Learning Privacy from Visual Entities
Alessio Xompero
Andrea Cavallaro
SSL
GNN
63
0
0
16 Mar 2025
Multi-View Node Pruning for Accurate Graph Representation
Multi-View Node Pruning for Accurate Graph Representation
Jiseong Park
Hanjin Kim
Seojin Kim
Jueun Choi
39
0
0
14 Mar 2025
Beyond the Edge of Function: Unraveling the Patterns of Type Recovery in Binary Code
Gangyang Li
Xiuwei Shang
Shaoyin Cheng
Jingyang Zhang
Li Hu
Xu Zhu
Wenbo Zhang
Nenghai Yu
41
0
0
10 Mar 2025
GIN-Graph: A Generative Interpretation Network for Model-Level Explanation of Graph Neural Networks
Xiao Yue
Guangzhi Qu
Lige Gan
GAN
FAtt
AI4CE
63
0
0
08 Mar 2025
Technique Inference Engine: A Recommender Model to Support Cyber Threat Hunting
Matthew J. Turner
Mike Carenzo
Jackie Lasky
James Morris-King
James Ross
33
0
0
04 Mar 2025
Detecting Code Vulnerabilities with Heterogeneous GNN Training
Detecting Code Vulnerabilities with Heterogeneous GNN Training
Yu Luo
Weifeng Xu
Dianxiang Xu
41
0
0
24 Feb 2025
GraphFM: Graph Factorization Machines for Feature Interaction Modeling
GraphFM: Graph Factorization Machines for Feature Interaction Modeling
Shu Wu
Zekun Li
Yunyue Su
Zeyu Cui
Xiaoyu Zhang
Liang Wang
69
22
0
24 Feb 2025
Understanding the Design Principles of Link Prediction in Directed Settings
Understanding the Design Principles of Link Prediction in Directed Settings
Jun Zhai
Muberra Ozmen
Thomas Markovich
AI4CE
38
0
0
24 Feb 2025
Graph Neural Network-based Spectral Filtering Mechanism for Imbalance Classification in Network Digital Twin
Graph Neural Network-based Spectral Filtering Mechanism for Imbalance Classification in Network Digital Twin
Abubakar Isah
I. Aliyu
Sulaiman Muhammad Rashid
Jaehyung Park
Minsoo Hahn
Jinsul Kim
27
0
0
17 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
70
1
0
11 Feb 2025
FlashVideo: Flowing Fidelity to Detail for Efficient High-Resolution Video Generation
FlashVideo: Flowing Fidelity to Detail for Efficient High-Resolution Video Generation
Shilong Zhang
Wenbo Li
Shoufa Chen
Chongjian Ge
Peize Sun
Yunke Zhang
Yi-Xin Jiang
Zehuan Yuan
Binyue Peng
Ping Luo
DiffM
VGen
101
3
0
07 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
64
1
0
03 Feb 2025
DoMINO: A Decomposable Multi-scale Iterative Neural Operator for Modeling Large Scale Engineering Simulations
DoMINO: A Decomposable Multi-scale Iterative Neural Operator for Modeling Large Scale Engineering Simulations
Rishikesh Ranade
M. A. Nabian
Kaustubh Tangsali
Alexey Kamenev
O. Hennigh
Ram Cherukuri
S. Choudhry
AI4CE
86
2
0
23 Jan 2025
ReFactor GNNs: Revisiting Factorisation-based Models from a Message-Passing Perspective
ReFactor GNNs: Revisiting Factorisation-based Models from a Message-Passing Perspective
Yihong Chen
Pushkar Mishra
Luca Franceschi
Pasquale Minervini
Pontus Stenetorp
Sebastian Riedel
67
20
0
17 Jan 2025
CONTINUUM: Detecting APT Attacks through Spatial-Temporal Graph Neural Networks
CONTINUUM: Detecting APT Attacks through Spatial-Temporal Graph Neural Networks
Atmane Ayoub Mansour Bahar
Kamel Soaid Ferrahi
Mohamed-Lamine Messai
H. Seba
Karima Amrouche
36
0
0
08 Jan 2025
MADE: Graph Backdoor Defense with Masked Unlearning
MADE: Graph Backdoor Defense with Masked Unlearning
Xiao Lin amd Mingjie Li
Mingjie Li
Yisen Wang
AAML
95
1
0
03 Jan 2025
Revisiting Graph Neural Networks on Graph-level Tasks: Comprehensive Experiments, Analysis, and Improvements
Haoyang Li
Yongjun Xu
C. Zhang
Alexander Zhou
Lei Chen
Qing Li
AI4CE
153
0
0
03 Jan 2025
Learning Semantic-Aware Representation in Visual-Language Models for
  Multi-Label Recognition with Partial Labels
Learning Semantic-Aware Representation in Visual-Language Models for Multi-Label Recognition with Partial Labels
Haoxian Ruan
Zhihua Xu
Zhijing Yang
Yongyi Lu
Jinghui Qin
Tianshui Chen
VLM
73
0
0
14 Dec 2024
Graph Neural Networks Are More Than Filters: Revisiting and Benchmarking
  from A Spectral Perspective
Graph Neural Networks Are More Than Filters: Revisiting and Benchmarking from A Spectral Perspective
Yushun Dong
Patrick Soga
Yinhan He
Song Wang
Jundong Li
96
0
0
10 Dec 2024
Towards Graph Foundation Models: A Study on the Generalization of Positional and Structural Encodings
Towards Graph Foundation Models: A Study on the Generalization of Positional and Structural Encodings
Billy Joe Franks
Moshe Eliasof
Semih Cantürk
Guy Wolf
Carola-Bibiane Schönlieb
Sophie Fellenz
Marius Kloft
AI4CE
86
0
0
10 Dec 2024
DA-MoE: Addressing Depth-Sensitivity in Graph-Level Analysis through
  Mixture of Experts
DA-MoE: Addressing Depth-Sensitivity in Graph-Level Analysis through Mixture of Experts
Zelin Yao
Chuang Liu
Xianke Meng
Yibing Zhan
Jia Wu
Shirui Pan
Wenbin Hu
24
1
0
05 Nov 2024
Enhancing Chess Reinforcement Learning with Graph Representation
Enhancing Chess Reinforcement Learning with Graph Representation
Tomas Rigaux
H. Kashima
GNN
29
0
0
31 Oct 2024
Are Large-Language Models Graph Algorithmic Reasoners?
Are Large-Language Models Graph Algorithmic Reasoners?
Alexander K. Taylor
Anthony Cuturrufo
Vishal Yathish
Mingyu Derek Ma
Wei Wang
LRM
48
0
0
29 Oct 2024
A Review of Graph-Powered Data Quality Applications for IoT Monitoring Sensor Networks
A Review of Graph-Powered Data Quality Applications for IoT Monitoring Sensor Networks
Pau Ferrer-Cid
Jose M. Barcelo-Ordinas
J. García-Vidal
42
2
0
28 Oct 2024
A Causal Graph-Enhanced Gaussian Process Regression for Modeling
  Engine-out NOx
A Causal Graph-Enhanced Gaussian Process Regression for Modeling Engine-out NOx
Shrenik Zinage
Ilias Bilionis
Peter Meckl
27
0
0
24 Oct 2024
Graph Neural Networks for Edge Signals: Orientation Equivariance and Invariance
Graph Neural Networks for Edge Signals: Orientation Equivariance and Invariance
Dominik Fuchsgruber
Tim Poštuvan
Stephan Günnemann
Simon Geisler
42
2
0
22 Oct 2024
Focus Where It Matters: Graph Selective State Focused Attention Networks
Focus Where It Matters: Graph Selective State Focused Attention Networks
Shikhar Vashistha
Neetesh Kumar
30
0
0
21 Oct 2024
Text Classification using Graph Convolutional Networks: A Comprehensive
  Survey
Text Classification using Graph Convolutional Networks: A Comprehensive Survey
Syed Mustafa Haider Rizvi
Ramsha Imran
Arif Mahmood
GNN
OOD
FaML
21
0
0
12 Oct 2024
Understanding Human Activity with Uncertainty Measure for Novelty in
  Graph Convolutional Networks
Understanding Human Activity with Uncertainty Measure for Novelty in Graph Convolutional Networks
Hao Xing
Darius Burschka
31
1
0
10 Oct 2024
Understanding Spatio-Temporal Relations in Human-Object Interaction
  using Pyramid Graph Convolutional Network
Understanding Spatio-Temporal Relations in Human-Object Interaction using Pyramid Graph Convolutional Network
Hao Xing
Darius Burschka
42
11
0
10 Oct 2024
NetDiff: Deep Graph Denoising Diffusion for Ad Hoc Network Topology
  Generation
NetDiff: Deep Graph Denoising Diffusion for Ad Hoc Network Topology Generation
Félix Marcoccia
C. Adjih
P. Mühlethaler
DiffM
20
0
0
09 Oct 2024
DLGNet: Hyperedge Classification through Directed Line Graphs for
  Chemical Reactions
DLGNet: Hyperedge Classification through Directed Line Graphs for Chemical Reactions
Stefano Fiorini
Giulia M. Bovolenta
Stefano Coniglio
Michele Ciavotta
Pietro Morerio
Michele Parrinello
Alessio Del Bue
GNN
AI4CE
168
0
0
09 Oct 2024
FLAG: Financial Long Document Classification via AMR-based GNN
FLAG: Financial Long Document Classification via AMR-based GNN
Bolun "Namir" Xia
Aparna Gupta
Mohammed J. Zaki
AI4TS
AIFin
26
0
0
02 Oct 2024
Graph Edit Distance with General Costs Using Neural Set Divergence
Graph Edit Distance with General Costs Using Neural Set Divergence
Eeshaan Jain
Indradyumna Roy
Saswat Meher
Soumen Chakrabarti
A. De
32
3
0
26 Sep 2024
Preventing Representational Rank Collapse in MPNNs by Splitting the
  Computational Graph
Preventing Representational Rank Collapse in MPNNs by Splitting the Computational Graph
Andreas Roth
Franka Bause
Nils M. Kriege
Thomas Liebig
35
3
0
17 Sep 2024
Sparks of Artificial General Intelligence(AGI) in Semiconductor Material
  Science: Early Explorations into the Next Frontier of Generative AI-Assisted
  Electron Micrograph Analysis
Sparks of Artificial General Intelligence(AGI) in Semiconductor Material Science: Early Explorations into the Next Frontier of Generative AI-Assisted Electron Micrograph Analysis
Sakhinana Sagar Srinivas
Geethan Sannidhi
Sreeja Gangasani
Chidaksh Ravuru
Venkataramana Runkana
33
0
0
17 Sep 2024
Exploring Rich Subjective Quality Information for Image Quality
  Assessment in the Wild
Exploring Rich Subjective Quality Information for Image Quality Assessment in the Wild
Xiongkuo Min
Yixuan Gao
Yuqin Cao
Guangtao Zhai
Wenjun Zhang
Huifang Sun
C. Chen
20
10
0
09 Sep 2024
Parameter-Efficient Quantized Mixture-of-Experts Meets Vision-Language
  Instruction Tuning for Semiconductor Electron Micrograph Analysis
Parameter-Efficient Quantized Mixture-of-Experts Meets Vision-Language Instruction Tuning for Semiconductor Electron Micrograph Analysis
Sakhinana Sagar Srinivas
Chidaksh Ravuru
Geethan Sannidhi
Venkataramana Runkana
43
0
0
27 Aug 2024
Multi-Modal Instruction-Tuning Small-Scale Language-and-Vision Assistant
  for Semiconductor Electron Micrograph Analysis
Multi-Modal Instruction-Tuning Small-Scale Language-and-Vision Assistant for Semiconductor Electron Micrograph Analysis
Sakhinana Sagar Srinivas
Geethan Sannidhi
Venkataramana Runkana
38
1
0
27 Aug 2024
Cross-Modal Learning for Chemistry Property Prediction: Large Language
  Models Meet Graph Machine Learning
Cross-Modal Learning for Chemistry Property Prediction: Large Language Models Meet Graph Machine Learning
Sakhinana Sagar Srinivas
Venkataramana Runkana
AI4CE
38
1
0
27 Aug 2024
CrossInspector: A Static Analysis Approach for Cross-Contract
  Vulnerability Detection
CrossInspector: A Static Analysis Approach for Cross-Contract Vulnerability Detection
Xiao Chen
18
3
0
27 Aug 2024
Hierarchical Network Fusion for Multi-Modal Electron Micrograph
  Representation Learning with Foundational Large Language Models
Hierarchical Network Fusion for Multi-Modal Electron Micrograph Representation Learning with Foundational Large Language Models
Sakhinana Sagar Srinivas
Geethan Sannidhi
Venkataramana Runkana
35
0
0
24 Aug 2024
Preliminary Investigations of a Multi-Faceted Robust and Synergistic
  Approach in Semiconductor Electron Micrograph Analysis: Integrating Vision
  Transformers with Large Language and Multimodal Models
Preliminary Investigations of a Multi-Faceted Robust and Synergistic Approach in Semiconductor Electron Micrograph Analysis: Integrating Vision Transformers with Large Language and Multimodal Models
Sakhinana Sagar Srinivas
Geethan Sannidhi
Sreeja Gangasani
Chidaksh Ravuru
Venkataramana Runkana
32
0
0
24 Aug 2024
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