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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
Molecule Generation and Optimization for Efficient Fragrance Creation
Molecule Generation and Optimization for Efficient Fragrance Creation
Bruno C. L. Rodrigues
Vinícius V. Santana
Sandris Murins
Idelfonso B. R. Nogueira
16
3
0
19 Feb 2024
Disambiguated Node Classification with Graph Neural Networks
Disambiguated Node Classification with Graph Neural Networks
Tianxiang Zhao
Xiang Zhang
Suhang Wang
AI4CE
32
2
0
13 Feb 2024
Topic Modeling as Multi-Objective Contrastive Optimization
Topic Modeling as Multi-Objective Contrastive Optimization
Thong Nguyen
Xiaobao Wu
Xinshuai Dong
Cong-Duy Nguyen
See-Kiong Ng
A. Luu
46
6
0
12 Feb 2024
Continual Learning on Graphs: A Survey
Continual Learning on Graphs: A Survey
Zonggui Tian
Duanhao Zhang
Hong-Ning Dai
47
5
0
09 Feb 2024
PAC Learnability under Explanation-Preserving Graph Perturbations
PAC Learnability under Explanation-Preserving Graph Perturbations
Xu Zheng
Farhad Shirani
Tianchun Wang
Shouwei Gao
Wenqian Dong
Wei Cheng
Dongsheng Luo
24
0
0
07 Feb 2024
Towards Generalizability of Multi-Agent Reinforcement Learning in Graphs
  with Recurrent Message Passing
Towards Generalizability of Multi-Agent Reinforcement Learning in Graphs with Recurrent Message Passing
Jannis Weil
Zhenghua Bao
Osama Abboud
Tobias Meuser
AI4CE
16
1
0
07 Feb 2024
Graph Neural Machine: A New Model for Learning with Tabular Data
Graph Neural Machine: A New Model for Learning with Tabular Data
Giannis Nikolentzos
Siyun Wang
J. Lutzeyer
Michalis Vazirgiannis
34
0
0
05 Feb 2024
CONCORD: Towards a DSL for Configurable Graph Code Representation
CONCORD: Towards a DSL for Configurable Graph Code Representation
M. Saad
Tushar Sharma
25
2
0
31 Jan 2024
Coca: Improving and Explaining Graph Neural Network-Based Vulnerability
  Detection Systems
Coca: Improving and Explaining Graph Neural Network-Based Vulnerability Detection Systems
Sicong Cao
Xiaobing Sun
Xiaoxue Wu
David Lo
Lili Bo
Bin Li
Wei Liu
AAML
32
12
0
26 Jan 2024
Choosing a Classical Planner with Graph Neural Networks
Choosing a Classical Planner with Graph Neural Networks
Jana Vatter
R. Mayer
Hans-Arno Jacobsen
Horst Samulowitz
Michael Katz
16
0
0
25 Jan 2024
GCBF+: A Neural Graph Control Barrier Function Framework for Distributed Safe Multi-Agent Control
GCBF+: A Neural Graph Control Barrier Function Framework for Distributed Safe Multi-Agent Control
Songyuan Zhang
Oswin So
Kunal Garg
Chuchu Fan
AI4CE
46
22
0
25 Jan 2024
Adaptive Global-Local Representation Learning and Selection for
  Cross-Domain Facial Expression Recognition
Adaptive Global-Local Representation Learning and Selection for Cross-Domain Facial Expression Recognition
Yuefang Gao
Yuhao Xie
Zeke Zexi Hu
Tianshui Chen
Liang Lin
CVBM
28
3
0
20 Jan 2024
Use of Graph Neural Networks in Aiding Defensive Cyber Operations
Use of Graph Neural Networks in Aiding Defensive Cyber Operations
Shaswata Mitra
Trisha Chakraborty
Subash Neupane
Aritran Piplai
Sudip Mittal
AAML
42
3
0
11 Jan 2024
A Primer on Temporal Graph Learning
A Primer on Temporal Graph Learning
Aniq Ur Rahman
J. Coon
AI4CE
42
1
0
08 Jan 2024
Multi-Modal Representation Learning for Molecular Property Prediction:
  Sequence, Graph, Geometry
Multi-Modal Representation Learning for Molecular Property Prediction: Sequence, Graph, Geometry
Zeyu Wang
Tianyi Jiang
Jinhuan Wang
Qi Xuan
AI4CE
27
8
0
07 Jan 2024
TimeGraphs: Graph-based Temporal Reasoning
TimeGraphs: Graph-based Temporal Reasoning
Paridhi Maheshwari
Hongyu Ren
Yanan Wang
R. Sosič
J. Leskovec
AI4TS
AI4CE
16
2
0
06 Jan 2024
Beyond Fidelity: Explaining Vulnerability Localization of Learning-based
  Detectors
Beyond Fidelity: Explaining Vulnerability Localization of Learning-based Detectors
Baijun Cheng
Shengming Zhao
Kailong Wang
Meizhen Wang
Guangdong Bai
Ruitao Feng
Yao Guo
Lei Ma
Haoyu Wang
FAtt
AAML
31
7
0
05 Jan 2024
Graph Neural Networks for Tabular Data Learning: A Survey with Taxonomy
  and Directions
Graph Neural Networks for Tabular Data Learning: A Survey with Taxonomy and Directions
Cheng-Te Li
Yu-Che Tsai
Chih-Yao Chen
Jay Chiehen Liao
LMTD
AI4CE
33
7
0
04 Jan 2024
Strong Transitivity Relations and Graph Neural Networks
Strong Transitivity Relations and Graph Neural Networks
Yassin Mohamadi
M. H. Chehreghani
GNN
27
2
0
01 Jan 2024
Deep Learning for Code Intelligence: Survey, Benchmark and Toolkit
Deep Learning for Code Intelligence: Survey, Benchmark and Toolkit
Yao Wan
Yang He
Zhangqian Bi
Jianguo Zhang
Hongyu Zhang
Yulei Sui
Guandong Xu
Hai Jin
Philip S. Yu
35
20
0
30 Dec 2023
Graph Learning in 4D: a Quaternion-valued Laplacian to Enhance Spectral
  GCNs
Graph Learning in 4D: a Quaternion-valued Laplacian to Enhance Spectral GCNs
Stefano Fiorini
Stefano Coniglio
Michele Ciavotta
Enza Messina
GNN
29
5
0
28 Dec 2023
Reinforcement-based Display-size Selection for Frugal Satellite Image
  Change Detection
Reinforcement-based Display-size Selection for Frugal Satellite Image Change Detection
H. Sahbi
29
0
0
28 Dec 2023
Algebraic Positional Encodings
Algebraic Positional Encodings
Konstantinos Kogkalidis
Jean-Philippe Bernardy
Vikas K. Garg
16
1
0
26 Dec 2023
PUMA: Efficient Continual Graph Learning for Node Classification with
  Graph Condensation
PUMA: Efficient Continual Graph Learning for Node Classification with Graph Condensation
Yilun Liu
Ruihong Qiu
Yanran Tang
Hongzhi Yin
Zi Huang
24
5
0
22 Dec 2023
When Graph Data Meets Multimodal: A New Paradigm for Graph Understanding
  and Reasoning
When Graph Data Meets Multimodal: A New Paradigm for Graph Understanding and Reasoning
Qihang Ai
Jianwu Zhou
Haiyun Jiang
Lemao Liu
Shuming Shi
17
1
0
16 Dec 2023
Multi-level graph learning for audio event classification and
  human-perceived annoyance rating prediction
Multi-level graph learning for audio event classification and human-perceived annoyance rating prediction
Yuanbo Hou
Qiaoqiao Ren
Siyang Song
Yuxin Song
Wenwu Wang
Dick Botteldooren
34
1
0
15 Dec 2023
Unsupervised Graph-based Learning Method for Sub-band Allocation in 6G
  Subnetworks
Unsupervised Graph-based Learning Method for Sub-band Allocation in 6G Subnetworks
Daniel Abode
Ramoni O. Adeogun
Lou Salaün
Renato Abreu
Thomas Jacobsen
Gilberto Berardinelli
14
3
0
13 Dec 2023
GraNet: A Multi-Level Graph Network for 6-DoF Grasp Pose Generation in
  Cluttered Scenes
GraNet: A Multi-Level Graph Network for 6-DoF Grasp Pose Generation in Cluttered Scenes
Haowen Wang
Wanhao Niu
Chungang Zhuang
21
7
0
06 Dec 2023
Enhancing Molecular Property Prediction via Mixture of Collaborative
  Experts
Enhancing Molecular Property Prediction via Mixture of Collaborative Experts
Xu Yao
Shuang Liang
Songqiao Han
Hailiang Huang
29
4
0
06 Dec 2023
NeutronStream: A Dynamic GNN Training Framework with Sliding Window for
  Graph Streams
NeutronStream: A Dynamic GNN Training Framework with Sliding Window for Graph Streams
Chaoyi Chen
Dechao Gao
Yanfeng Zhang
Qiange Wang
Zhenbo Fu
Xuecang Zhang
Junhua Zhu
Yu Gu
Ge Yu
GNN
43
5
0
05 Dec 2023
Exploring Causal Learning through Graph Neural Networks: An In-depth
  Review
Exploring Causal Learning through Graph Neural Networks: An In-depth Review
Simi Job
Xiaohui Tao
Taotao Cai
Haoran Xie
Lin Li
Jianming Yong
Qing Li
CML
AI4CE
38
5
0
25 Nov 2023
HongTu: Scalable Full-Graph GNN Training on Multiple GPUs (via
  communication-optimized CPU data offloading)
HongTu: Scalable Full-Graph GNN Training on Multiple GPUs (via communication-optimized CPU data offloading)
Qiange Wang
Yao Chen
Weng-Fai Wong
Bingsheng He
GNN
23
9
0
25 Nov 2023
Node Classification in Random Trees
Node Classification in Random Trees
Wouter W. L. Nuijten
Vlado Menkovski
BDL
10
0
0
20 Nov 2023
The Next 700 ML-Enabled Compiler Optimizations
The Next 700 ML-Enabled Compiler Optimizations
S. VenkataKeerthy
Siddharth Jain
Umesh Kalvakuntla
Pranav Sai Gorantla
R. Chitale
E. Brevdo
Albert Cohen
Mircea Trofin
Ramakrishna Upadrasta
19
3
0
17 Nov 2023
Towards Robotic Tree Manipulation: Leveraging Graph Representations
Towards Robotic Tree Manipulation: Leveraging Graph Representations
Chung Hee Kim
Moonyoung Lee
Oliver Kroemer
George Kantor
21
3
0
13 Nov 2023
TransformCode: A Contrastive Learning Framework for Code Embedding via
  Subtree Transformation
TransformCode: A Contrastive Learning Framework for Code Embedding via Subtree Transformation
Zixiang Xian
Rubing Huang
Dave Towey
Chunrong Fang
Zhenyu Chen
25
5
0
10 Nov 2023
HKTGNN: Hierarchical Knowledge Transferable Graph Neural Network-based
  Supply Chain Risk Assessment
HKTGNN: Hierarchical Knowledge Transferable Graph Neural Network-based Supply Chain Risk Assessment
Zhanting Zhou
Kejun Bi
Yuyanzhen Zhong
Chao Tang
Dongfen Li
Shi Ying
Ruijin Wang
29
0
0
07 Nov 2023
GSC: Generalizable Service Coordination
GSC: Generalizable Service Coordination
Farzad Mohammadi
V. Shah-Mansouri
GNN
14
1
0
05 Nov 2023
Latent Field Discovery In Interacting Dynamical Systems With Neural
  Fields
Latent Field Discovery In Interacting Dynamical Systems With Neural Fields
Miltiadis Kofinas
Erik J. Bekkers
N. S. Nagaraja
E. Gavves
AI4CE
39
7
0
31 Oct 2023
Transformers as Graph-to-Graph Models
Transformers as Graph-to-Graph Models
James Henderson
Alireza Mohammadshahi
Andrei Catalin Coman
Lesly Miculicich
GNN
27
6
0
27 Oct 2023
$\mathbb{VD}$-$\mathbb{GR}$: Boosting $\mathbb{V}$isual
  $\mathbb{D}$ialog with Cascaded Spatial-Temporal Multi-Modal
  $\mathbb{GR}$aphs
VD\mathbb{VD}VD-GR\mathbb{GR}GR: Boosting V\mathbb{V}Visual D\mathbb{D}Dialog with Cascaded Spatial-Temporal Multi-Modal GR\mathbb{GR}GRaphs
Adnen Abdessaied
Lei Shi
Andreas Bulling
3DH
29
3
0
25 Oct 2023
SPARE: A Single-Pass Neural Model for Relational Databases
SPARE: A Single-Pass Neural Model for Relational Databases
Benjamin Hilprecht
Kristian Kersting
Carsten Binnig
GNN
17
4
0
20 Oct 2023
TempGNN: Temporal Graph Neural Networks for Dynamic Session-Based
  Recommendations
TempGNN: Temporal Graph Neural Networks for Dynamic Session-Based Recommendations
Eunkyu Oh
Taehun Kim
24
0
0
20 Oct 2023
Differentiable Vertex Fitting for Jet Flavour Tagging
Differentiable Vertex Fitting for Jet Flavour Tagging
Rachel E. C. Smith
Ines Ochoa
Rúben Inácio
Jonathan Shoemaker
Michael Kagan
29
3
0
19 Oct 2023
From Continuous Dynamics to Graph Neural Networks: Neural Diffusion and
  Beyond
From Continuous Dynamics to Graph Neural Networks: Neural Diffusion and Beyond
Andi Han
Dai Shi
Lequan Lin
Junbin Gao
AI4CE
GNN
37
21
0
16 Oct 2023
Large Language Model-Aware In-Context Learning for Code Generation
Large Language Model-Aware In-Context Learning for Code Generation
Jia Li
Ge Li
Chongyang Tao
Jia Li
Huangzhao Zhang
Fang Liu
Zhi Jin
51
28
0
15 Oct 2023
Context-aware Session-based Recommendation with Graph Neural Networks
Context-aware Session-based Recommendation with Graph Neural Networks
Zhihui Zhang
Jianxiang Yu
Xiang Li
19
1
0
14 Oct 2023
Non-backtracking Graph Neural Networks
Non-backtracking Graph Neural Networks
Seonghyun Park
Narae Ryu
Ga-Rin Kim
Dongyeop Woo
Se-Young Yun
Sungsoo Ahn
35
4
0
11 Oct 2023
Graph learning in robotics: a survey
Graph learning in robotics: a survey
Francesca Pistilli
Giuseppe Averta
AI4CE
GNN
29
7
0
06 Oct 2023
Audio Event-Relational Graph Representation Learning for Acoustic Scene
  Classification
Audio Event-Relational Graph Representation Learning for Acoustic Scene Classification
Yuanbo Hou
Siyang Song
Chuang Yu
Wenwu Wang
Dick Botteldooren
29
7
0
05 Oct 2023
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