:: Library Catalog

Image de couverture de livre

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Chen, Xiwen, Boroujeni, Sayed Pedram Haeri, Shu, Xin, Li, Huayu, Razi, Abolfazl
Format:	Preprint
Publié:	2024
Sujets:	Machine Learning Social and Information Networks
Accès en ligne:	https://arxiv.org/abs/2411.02542
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Opinion Dynamics in Social Multiplex Networks with Mono and Bi-directional Interactions in the Presence of Leaders
par: Talebi, Amirreza, et autres
Publié: (2024)

Integrating Random Regret Minimization-Based Discrete Choice Models with Mixed Integer Linear Programming for Revenue Optimization
par: Talebi, Amirreza, et autres
Publié: (2024)

Meta-Adaptive Beam Search Planning for Transformer-Based Reinforcement Learning Control of UAVs with Overhead Manipulators under Flight Disturbances
par: Alzorgan, Hazim, et autres
Publié: (2026)

From Talking Words to Sharing Thoughts: Scalable Multi-LLM Aggregation via Structured Message Passing
par: Mehrabi, Niloufar, et autres
Publié: (2026)

FLAME Diffuser: Wildfire Image Synthesis using Mask Guided Diffusion
par: Wang, Hao, et autres
Publié: (2024)

Enhanced Cooperative Perception for Autonomous Vehicles Using Imperfect Communication
par: Sarlak, Ahmad, et autres
Publié: (2024)

Don't Waste Bits! Adaptive KV-Cache Quantization for Lightweight On-Device LLMs
par: Boroujeni, Sayed Pedram Haeri, et autres
Publié: (2026)

All You Need for Object Detection: From Pixels, Points, and Prompts to Next-Gen Fusion and Multimodal LLMs/VLMs in Autonomous Vehicles
par: Boroujeni, Sayed Pedram Haeri, et autres
Publié: (2025)

Driving Towards Inclusion: A Systematic Review of AI-powered Accessibility Enhancements for People with Disability in Autonomous Vehicles
par: Bastola, Ashish, et autres
Publié: (2024)

Line Graph Neural Networks for Link Weight Prediction
par: Liang, Jinbi, et autres
Publié: (2023)

FedMIL: Federated-Multiple Instance Learning for Video Analysis with Optimized DPP Scheduling
par: Bastola, Ashish, et autres
Publié: (2024)

COOL: A Conjoint Perspective on Spatio-Temporal Graph Neural Network for Traffic Forecasting
par: Ju, Wei, et autres
Publié: (2024)

Eyes on the Environment: AI-Driven Analysis for Fire and Smoke Classification, Segmentation, and Detection
par: Boroujeni, Sayed Pedram Haeri, et autres
Publié: (2025)

Effective Graph-Neural-Network based Models for Discovering Structural Hole Spanners in Large-Scale and Diverse Networks
par: Goel, Diksha, et autres
Publié: (2023)

Adaptive Data Transport Mechanism for UAV Surveillance Missions in Lossy Environments
par: Mehrabi, Niloufar, et autres
Publié: (2024)

Disentangled Condensation for Large-scale Graphs
par: Xiao, Zhenbang, et autres
Publié: (2024)

Node Centrality Approximation For Large Networks Based On Inductive Graph Neural Networks
par: Zou, Yiwei, et autres
Publié: (2024)

Chi-Square Wavelet Graph Neural Networks for Heterogeneous Graph Anomaly Detection
par: Li, Xiping, et autres
Publié: (2025)

What Is Missing In Homophily? Disentangling Graph Homophily For Graph Neural Networks
par: Zheng, Yilun, et autres
Publié: (2024)

Spectral-Based Graph Neural Networks for Complementary Item Recommendation
par: Luo, Haitong, et autres
Publié: (2024)

GraphWeaver: Billion-Scale Cybersecurity Incident Correlation
par: Freitas, Scott, et autres
Publié: (2024)

Discovering Structural Hole Spanners in Dynamic Networks via Graph Neural Networks
par: Goel, Diksha, et autres
Publié: (2022)

Neighborhood Overlap-Aware High-Order Graph Neural Network for Dynamic Graph Learning
par: Wang, Ling
Publié: (2025)

Graph Neural Networks for Road Safety Modeling: Datasets and Evaluations for Accident Analysis
par: Nippani, Abhinav, et autres
Publié: (2023)

Incorporating Heterophily into Graph Neural Networks for Graph Classification
par: Yang, Jiayi, et autres
Publié: (2022)

Opinion Consensus Formation Among Networked Large Language Models
par: Yazici, Iris, et autres
Publié: (2026)

Towards Lightweight Graph Neural Network Search with Curriculum Graph Sparsification
par: Xie, Beini, et autres
Publié: (2024)

Simulating Rumor Spreading in Social Networks using LLM Agents
par: Hu, Tianrui, et autres
Publié: (2025)

Forward Learning of Graph Neural Networks
par: Park, Namyong, et autres
Publié: (2024)

When LLM Meets Hypergraph: A Sociological Analysis on Personality via Online Social Networks
par: Shu, Zhiyao, et autres
Publié: (2024)

Revisiting the Message Passing in Heterophilous Graph Neural Networks
par: Zheng, Zhuonan, et autres
Publié: (2024)

Dynamic Graph with Similarity-Aware Attention Graph Neural Network for Recommender Systems
par: Senapati, Aadarsh, et autres
Publié: (2026)

Link Prediction with Physics-Inspired Graph Neural Networks
par: Di Francesco, Andrea Giuseppe, et autres
Publié: (2024)

Learn from Heterophily: Heterophilous Information-enhanced Graph Neural Network
par: Zheng, Yilun, et autres
Publié: (2024)

From Clicks to Conversions: Analysis of Traffic Sources in E-Commerce
par: Muralidhar, Amrutha, et autres
Publié: (2024)

DeepTrace: Learning to Optimize Contact Tracing in Epidemic Networks with Graph Neural Networks
par: Tan, Chee Wei, et autres
Publié: (2022)

Geographical Information Alignment Boosts Traffic Analysis via Transpose Cross-attention
par: Jiang, Xiangyu, et autres
Publié: (2024)

A Hybrid Similarity-Aware Graph Neural Network with Transformer for Node Classification
par: Singh, Aman, et autres
Publié: (2025)

A Survey of Graph Neural Networks for Social Recommender Systems
par: Sharma, Kartik, et autres
Publié: (2022)

GNNAnatomy: Rethinking Model-Level Explanations for Graph Neural Networks
par: Lu, Hsiao-Ying, et autres
Publié: (2024)