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  3. GNN

Graphical Neural Networks

GNN
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Graphical Neural Networks (GNNs) are a class of neural networks designed to perform inference on data described by graphs.

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50 / 4,160 papers shown
Title
Representation of Inorganic Synthesis Reactions and Prediction: Graphical Framework and Datasets
Representation of Inorganic Synthesis Reactions and Prediction: Graphical Framework and Datasets
Samuel Andrello
Daniel Alabi
Simon J. L. Billinge
GNNAI4CE
156
0
0
02 Dec 2025
Beyond the Hype: A Large-Scale Empirical Analysis of On-Chain Transactions in NFT Scams
Beyond the Hype: A Large-Scale Empirical Analysis of On-Chain Transactions in NFT Scams
Wenkai Li
Zongwei Li
Xiaoqi Li
Chunyi Zhang
Xiaoyan Zhang
Yuqing Zhang
GNN
0
0
0
01 Dec 2025
Morphling: Fast, Fused, and Flexible GNN Training at Scale
Morphling: Fast, Fused, and Flexible GNN Training at Scale
Anubhab
Rupesh Nasre
GNNAI4CE
133
0
0
01 Dec 2025
Generalized Graph Transformer Variational Autoencoder
Generalized Graph Transformer Variational Autoencoder
Siddhant Karki
ViTGNN
76
0
0
29 Nov 2025
Nonstabilizerness Estimation using Graph Neural Networks
Nonstabilizerness Estimation using Graph Neural Networks
Vincenzo Lipardi
Domenica Dibenedetto
Georgios Stamoulis
Evert van Nieuwenburg
Mark H.M. Winands
GNN
21
0
0
28 Nov 2025
Intelligent Neural Networks: From Layered Architectures to Graph-Organized Intelligence
Intelligent Neural Networks: From Layered Architectures to Graph-Organized Intelligence
Antoine Salomon
GNN
106
0
0
27 Nov 2025
E2E-GRec: An End-to-End Joint Training Framework for Graph Neural Networks and Recommender Systems
E2E-GRec: An End-to-End Joint Training Framework for Graph Neural Networks and Recommender Systems
Rui Xue
Shichao Zhu
Liang Qin
Guangmou Pan
Yang Song
Tianfu Wu
GNN
64
0
0
25 Nov 2025
Large Scale Community-Aware Network Generation
Large Scale Community-Aware Network Generation
Vikram Ramavarapu
João Alfredo Cardoso Lamy
Mohammad Dindoost
David A. Bader
GNN
28
0
0
24 Nov 2025
Learning to Solve Weighted Maximum Satisfiability with a Co-Training Architecture
Learning to Solve Weighted Maximum Satisfiability with a Co-Training Architecture
Kaidi Wan
Minghao Liu
Yong Lai
GNN
114
0
0
24 Nov 2025
Neural Graph Navigation for Intelligent Subgraph Matching
Neural Graph Navigation for Intelligent Subgraph Matching
Yuchen Ying
Yiyang Dai
Wenda Li
Wenjie Huang
Rui Wang
Tongya Zheng
Yu Wang
Hanyang Yuan
Mingli Song
GNN
20
0
0
22 Nov 2025
Graph Neural Networks vs Convolutional Neural Networks for Graph Domination Number Prediction
Graph Neural Networks vs Convolutional Neural Networks for Graph Domination Number Prediction
Randy Davila
Beyzanur Ispir
GNNAI4CE
129
0
0
22 Nov 2025
Label-Efficient Skeleton-based Recognition with Stable-Invertible Graph Convolutional Networks
Label-Efficient Skeleton-based Recognition with Stable-Invertible Graph Convolutional Networks
Hichem Sahbi
GNN
97
0
0
21 Nov 2025
Optimizing Quantum Key Distribution Network Performance using Graph Neural Networks
Akshit Pramod Anchan
Ameiy Acharya
Leki Chom Thungon
GNN
146
0
0
20 Nov 2025
D2D Power Allocation via Quantum Graph Neural Network
D2D Power Allocation via Quantum Graph Neural NetworkInternational Conference on Mobile Computing and Ubiquitous Networking (ICMCUN), 2025
Tung Giang Le
X. Nguyen
Won-Joo Hwang
GNN
103
0
0
19 Nov 2025
Vehicle Routing Problems via Quantum Graph Attention Network Deep Reinforcement Learning
Vehicle Routing Problems via Quantum Graph Attention Network Deep Reinforcement Learning
Le Tung Giang
Vu Hoang Viet
Nguyen Xuan Tung
Trinh Van Chien
Won-Joo Hwang
GNN
116
0
0
19 Nov 2025
GPU-Initiated Networking for NCCL
GPU-Initiated Networking for NCCL
Khaled Hamidouche
John Bachan
Pak Markthub
Peter-Jan Gootzen
Elena Agostini
Sylvain Jeaugey
Aamir Shafi
Georgios Theodorakis
Manjunath Gorentla Venkata
GNN
276
0
0
19 Nov 2025
Graph Query Networks for Object Detection with Automotive Radar
Graph Query Networks for Object Detection with Automotive Radar
Loveneet Saini
Hasan Tercan
Tobias Meisen
GNN
108
0
0
19 Nov 2025
Complex-Weighted Convolutional Networks: Provable Expressiveness via Complex Diffusion
Complex-Weighted Convolutional Networks: Provable Expressiveness via Complex Diffusion
Cristina López Amado
Tassilo Schwarz
Yu Tian
Renaud Lambiotte
DiffMGNN
160
0
0
17 Nov 2025
Hierarchical Frequency-Decomposition Graph Neural Networks for Road Network Representation Learning
Hierarchical Frequency-Decomposition Graph Neural Networks for Road Network Representation Learning
JingTian Ma
Jingyuan Wang
Leong Hou U
AI4TSGNN
164
0
0
16 Nov 2025
VISAGNN: Versatile Staleness-Aware Efficient Training on Large-Scale Graphs
VISAGNN: Versatile Staleness-Aware Efficient Training on Large-Scale Graphs
Rui Xue
GNN
125
0
0
16 Nov 2025
LILogic Net: Compact Logic Gate Networks with Learnable Connectivity for Efficient Hardware Deployment
LILogic Net: Compact Logic Gate Networks with Learnable Connectivity for Efficient Hardware Deployment
Katarzyna Fojcik
Renaldas Zioma
Jogundas Armaitis
NAIGNN
100
0
0
15 Nov 2025
Enhancing Graph Representations with Neighborhood-Contextualized Message-Passing
Enhancing Graph Representations with Neighborhood-Contextualized Message-Passing
Brian Godwin Lim
GNN
332
0
0
14 Nov 2025
Virtual Width Networks
Virtual Width Networks
Seed
B. Li
Banggu Wu
Bole Ma
Bowen Xiao
...
Yonghui Wu
Y. Zhang
Yongzhen Yao
Yu Bao
Y. Yang
GNN
407
0
0
14 Nov 2025
The Role of Advanced Computer Architectures in Accelerating Artificial Intelligence Workloads
The Role of Advanced Computer Architectures in Accelerating Artificial Intelligence Workloads
Shahid Amin
Syed Pervez Hussnain Shah
GNNAI4CE
124
0
0
13 Nov 2025
A Distributed Training Architecture For Combinatorial Optimization
A Distributed Training Architecture For Combinatorial Optimization
Yuyao Long
GNNOffRLAI4CE
277
0
0
12 Nov 2025
DynamicRTL: RTL Representation Learning for Dynamic Circuit Behavior
DynamicRTL: RTL Representation Learning for Dynamic Circuit Behavior
Ruiyang Ma
Yunhao Zhou
Y. Wang
Yi Liu
Zhengyuan Shi
...
Z. He
Lingwei Yan
Gang Chen
Qiang Xu
Guojie Luo
GNNAI4CE
207
0
0
12 Nov 2025
FPGA or GPU? Analyzing comparative research for application-specific guidance
FPGA or GPU? Analyzing comparative research for application-specific guidanceSoutheastCon (SoutheastCon), 2025
Arnab A Purkayastha
Jay Tharwani
Shobhit Aggarwal
GNN
267
0
0
09 Nov 2025
VEIL: Reading Control Flow Graphs Like Code
VEIL: Reading Control Flow Graphs Like Code
Philipp Schaad
Tal Ben-Nun
Torsten Hoefler
GNN
176
0
0
07 Nov 2025
ScaleDL: Towards Scalable and Efficient Runtime Prediction for Distributed Deep Learning Workloads
ScaleDL: Towards Scalable and Efficient Runtime Prediction for Distributed Deep Learning Workloads
Xiaokai Wang
Shaoyuan Huang
Yuting Li
Xiaofei Wang
GNNAI4CE
172
0
0
06 Nov 2025
Beyond the GPU: The Strategic Role of FPGAs in the Next Wave of AI
Beyond the GPU: The Strategic Role of FPGAs in the Next Wave of AI
Arturo Urías Jiménez
GNN
84
0
0
04 Nov 2025
Importance Ranking in Complex Networks via Influence-aware Causal Node Embedding
Importance Ranking in Complex Networks via Influence-aware Causal Node Embedding
Jiahui Gao
Kuang Zhou
Yuchen Zhu
Keyu Wu
CMLBDLGNN
193
0
0
03 Nov 2025
Fixed-point graph convolutional networks against adversarial attacks
Fixed-point graph convolutional networks against adversarial attacks
Shakib Khan
A. Ben Hamza
Amr Youssef
AAMLGNN
161
0
0
29 Oct 2025
EVINGCA: Adaptive Graph Clustering with Evolving Neighborhood Statistics
EVINGCA: Adaptive Graph Clustering with Evolving Neighborhood Statistics
Randolph Wiredu-Aidoo
GNN
315
0
0
29 Oct 2025
Quantum-Resistant Networks Using Post-Quantum Cryptography
Quantum-Resistant Networks Using Post-Quantum Cryptography
Xin Jin
Nitish K. Chandra
Mohadeseh Azari
Kaushik P. Seshadreesan
Junyu Liu
GNN
133
0
0
28 Oct 2025
GraphNet: A Large-Scale Computational Graph Dataset for Tensor Compiler Research
GraphNet: A Large-Scale Computational Graph Dataset for Tensor Compiler Research
Xinqi Li
Yiqun Liu
Shan Jiang
Enrong Zheng
Huaijin Zheng
Wenhao Dai
Haodong Deng
Dianhai Yu
Yanjun Ma
GNN
162
0
0
28 Oct 2025
iPac: Incorporating Intra-image Patch Context into Graph Neural Networks for Medical Image Classification
iPac: Incorporating Intra-image Patch Context into Graph Neural Networks for Medical Image Classification
Usama Zidan
M. Gaber
M. Abdelsamea
GNN
96
0
0
27 Oct 2025
When No Paths Lead to Rome: Benchmarking Systematic Neural Relational Reasoning
When No Paths Lead to Rome: Benchmarking Systematic Neural Relational Reasoning
Anirban Das
Irtaza Khalid
Rafael Peñaloza
Steven Schockaert
GNN3DV
342
0
0
27 Oct 2025
Pruning and Quantization Impact on Graph Neural Networks
Pruning and Quantization Impact on Graph Neural Networks
Khatoon Khedri
Reza Rawassizadeh
Qifu Wen
M. Hosseinzadeh
GNN
114
0
0
24 Oct 2025
Deep Learning on Real-World Graphs
Deep Learning on Real-World Graphs
Emanuele Rossi
GNNAI4CE
92
0
0
24 Oct 2025
Leveraging Classical Algorithms for Graph Neural Networks
Leveraging Classical Algorithms for Graph Neural Networks
Jason Wu
Petar Veličković
GNNAI4CE
150
0
0
24 Oct 2025
Collective Communication for 100k+ GPUs
Collective Communication for 100k+ GPUs
Min Si
Pavan Balaji
Yongzhou Chen
Ching-Hsiang Chu
Adi Gangidi
...
Shuqiang Zhang
Yimeng Zhao
Shengbao Zheng
Art Zhu
Hongyi Zeng
GNNAI4CE
289
0
0
23 Oct 2025
Prefetching Cache Optimization Using Graph Neural Networks: A Modular Framework and Conceptual Analysis
Prefetching Cache Optimization Using Graph Neural Networks: A Modular Framework and Conceptual Analysis
F. I. Qowy
GNN
97
0
0
23 Oct 2025
GRACE: GRaph-based Addiction Care prEdiction
GRACE: GRaph-based Addiction Care prEdiction
Subham Kumar
Prakrithi Shivaprakash
Koustav Rudra
Lekhansh Shukla
Animesh Mukherjee
GNN
134
0
0
23 Oct 2025
An Active Diffusion Neural Network for Graphs
An Active Diffusion Neural Network for Graphs
Mengying Jiang
GNN
130
0
0
22 Oct 2025
Attn-JGNN: Attention Enhanced Join-Graph Neural Networks
Attn-JGNN: Attention Enhanced Join-Graph Neural Networks
Jixin Zhang
Yong Lai
GNN
116
0
0
17 Oct 2025
Inferred global dense residue transition graphs from primary structure sequences enable protein interaction prediction via directed graph convolutional neural networks
Inferred global dense residue transition graphs from primary structure sequences enable protein interaction prediction via directed graph convolutional neural networks
Islam A. Ebeid
Haoteng Tang
Pengfei Gu
GNN
106
0
0
15 Oct 2025
Learning Wireless Interference Patterns: Decoupled GNN for Throughput Prediction in Heterogeneous Multi-Hop p-CSMA Networks
Learning Wireless Interference Patterns: Decoupled GNN for Throughput Prediction in Heterogeneous Multi-Hop p-CSMA Networks
Faezeh Dehghan Tarzjani
Bhaskar Krishnamachari
GNN
112
0
0
15 Oct 2025
Chimera: State Space Models Beyond Sequences
Chimera: State Space Models Beyond Sequences
Aakash Lahoti
Tanya Marwah
Ratish Puduppully
Albert Gu
MambaGNNAI4CE
200
0
0
14 Oct 2025
Fast and the Furious: Hot Starts in Pursuit-Evasion Games
Fast and the Furious: Hot Starts in Pursuit-Evasion Games
Gabriel Smithline
Scott Nivison
GNN
88
0
0
12 Oct 2025
Learning Joint Embeddings of Function and Process Call Graphs for Malware Detection
Learning Joint Embeddings of Function and Process Call Graphs for Malware Detection
Kartikeya Aneja
Nagender Aneja
Murat Kantarcioglu
GNN
85
0
0
11 Oct 2025
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