Saved in:
| Main Authors: | Li, Hao, Jiang, Hao, Zheng, Yuke, Sun, Hao, Gong, Wenying |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2502.11519 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Advancing Opinion Dynamics Modeling with Neural Diffusion-Convection-Reaction Equation
by: Gong, Chenghua, et al.
Published: (2026)
by: Gong, Chenghua, et al.
Published: (2026)
BotDGT: Dynamicity-aware Social Bot Detection with Dynamic Graph Transformers
by: He, Buyun, et al.
Published: (2024)
by: He, Buyun, et al.
Published: (2024)
HMSG: Heterogeneous Graph Neural Network based on Metapath Subgraph Learning
by: Cai, Xinjun, et al.
Published: (2021)
by: Cai, Xinjun, et al.
Published: (2021)
An Effective Index for Truss-based Community Search on Large Directed Graphs
by: Ai, Wei, et al.
Published: (2024)
by: Ai, Wei, et al.
Published: (2024)
SP-GCRL: Influence Maximization on Incomplete Social Graphs
by: Niu, Haohua, et al.
Published: (2026)
by: Niu, Haohua, et al.
Published: (2026)
A Unified Graph Selective Prompt Learning for Graph Neural Networks
by: Jiang, Bo, et al.
Published: (2024)
by: Jiang, Bo, et al.
Published: (2024)
Sybil Detection using Graph Neural Networks
by: Heeb, Stuart, et al.
Published: (2024)
by: Heeb, Stuart, et al.
Published: (2024)
Node Centrality Approximation For Large Networks Based On Inductive Graph Neural Networks
by: Zou, Yiwei, et al.
Published: (2024)
by: Zou, Yiwei, et al.
Published: (2024)
Fast Butterfly-Core Community Search For Large Labeled Graphs
by: Du, JiaYi, et al.
Published: (2024)
by: Du, JiaYi, et al.
Published: (2024)
Rethinking Federated Graph Learning: A Data Condensation Perspective
by: Zhang, Hao, et al.
Published: (2025)
by: Zhang, Hao, et al.
Published: (2025)
Enhancing Explainability of Knowledge Learning Paths: Causal Knowledge Networks
by: Wei, Yuang, et al.
Published: (2024)
by: Wei, Yuang, et al.
Published: (2024)
INFLECT-DGNN: Influencer Prediction with Dynamic Graph Neural Networks
by: Tiukhova, Elena, et al.
Published: (2023)
by: Tiukhova, Elena, et al.
Published: (2023)
Chi-Square Wavelet Graph Neural Networks for Heterogeneous Graph Anomaly Detection
by: Li, Xiping, et al.
Published: (2025)
by: Li, Xiping, et al.
Published: (2025)
A Generalized Neural Diffusion Framework on Graphs
by: Li, Yibo, et al.
Published: (2023)
by: Li, Yibo, et al.
Published: (2023)
Graph Domain Adaptation via Homophily-Agnostic Reconstructing Structure
by: Fang, Ruiyi, et al.
Published: (2026)
by: Fang, Ruiyi, et al.
Published: (2026)
Towards Lightweight Graph Neural Network Search with Curriculum Graph Sparsification
by: Xie, Beini, et al.
Published: (2024)
by: Xie, Beini, et al.
Published: (2024)
Can Graph Neural Networks Learn Language with Extremely Weak Text Supervision?
by: Li, Zihao, et al.
Published: (2024)
by: Li, Zihao, et al.
Published: (2024)
Strong Transitivity Relations and Graph Neural Networks
by: Mohamadi, Yassin, et al.
Published: (2024)
by: Mohamadi, Yassin, et al.
Published: (2024)
Demystifying Higher-Order Graph Neural Networks
by: Besta, Maciej, et al.
Published: (2024)
by: Besta, Maciej, et al.
Published: (2024)
Graph Neural Networks for Tabular Data Learning: A Survey with Taxonomy and Directions
by: Li, Cheng-Te, et al.
Published: (2024)
by: Li, Cheng-Te, et al.
Published: (2024)
PAGE: Prototype-Based Model-Level Explanations for Graph Neural Networks
by: Shin, Yong-Min, et al.
Published: (2022)
by: Shin, Yong-Min, et al.
Published: (2022)
A Community Detection and Graph Neural Network Based Link Prediction Approach for Scientific Literature
by: Liu, Chunjiang, et al.
Published: (2024)
by: Liu, Chunjiang, et al.
Published: (2024)
Modeling Social Media Recommendation Impacts Using Academic Networks: A Graph Neural Network Approach
by: Guidotti, Sabrina, et al.
Published: (2024)
by: Guidotti, Sabrina, et al.
Published: (2024)
Detecting Fake Reviewer Groups in Dynamic Networks: An Adaptive Graph Learning Method
by: Zhang, Jing, et al.
Published: (2026)
by: Zhang, Jing, et al.
Published: (2026)
Hierarchical Compression of Text-Rich Graphs via Large Language Models
by: Zhang, Shichang, et al.
Published: (2024)
by: Zhang, Shichang, et al.
Published: (2024)
Advancing Community Detection with Graph Convolutional Neural Networks: Bridging Topological and Attributive Cohesion
by: de Silva, Anjali, et al.
Published: (2025)
by: de Silva, Anjali, et al.
Published: (2025)
Revisiting Graph-Based Fraud Detection in Sight of Heterophily and Spectrum
by: Xu, Fan, et al.
Published: (2023)
by: Xu, Fan, et al.
Published: (2023)
FairACE: Achieving Degree Fairness in Graph Neural Networks via Contrastive and Adversarial Group-Balanced Training
by: Liu, Jiaxin, et al.
Published: (2025)
by: Liu, Jiaxin, et al.
Published: (2025)
LinkSAGE: Optimizing Job Matching Using Graph Neural Networks
by: Liu, Ping, et al.
Published: (2024)
by: Liu, Ping, et al.
Published: (2024)
Large Language Models for Link Stealing Attacks Against Graph Neural Networks
by: Guan, Faqian, et al.
Published: (2024)
by: Guan, Faqian, et al.
Published: (2024)
A Comprehensive Data-centric Overview of Federated Graph Learning
by: Wu, Zhengyu, et al.
Published: (2025)
by: Wu, Zhengyu, et al.
Published: (2025)
AutoCas: Autoregressive Cascade Predictor in Social Networks via Large Language Models
by: Zheng, Yuhao, et al.
Published: (2025)
by: Zheng, Yuhao, et al.
Published: (2025)
RoGBot: Relationship-Oblivious Graph-based Neural Network with Contextual Knowledge for Bot Detection
by: Anshul, Ashutosh, et al.
Published: (2025)
by: Anshul, Ashutosh, et al.
Published: (2025)
Collaborative Interest-aware Graph Learning for Group Identification
by: Zhao, Rui, et al.
Published: (2025)
by: Zhao, Rui, et al.
Published: (2025)
CAT: A Causally Graph Attention Network for Trimming Heterophilic Graph
by: He, Silu, et al.
Published: (2023)
by: He, Silu, et al.
Published: (2023)
Enhancing Social Media Rumor Detection: A Semantic and Graph Neural Network Approach for the 2024 Global Election
by: Yan, Liu, et al.
Published: (2025)
by: Yan, Liu, et al.
Published: (2025)
A Survey on Extractive Knowledge Graph Summarization: Applications, Approaches, Evaluation, and Future Directions
by: Wang, Xiaxia, et al.
Published: (2024)
by: Wang, Xiaxia, et al.
Published: (2024)
Can LLM Agents Simulate Dynamic Networks? A Case Study on Email Networks with Phishing Synthesis
by: Miao, Siqi, et al.
Published: (2026)
by: Miao, Siqi, et al.
Published: (2026)
HierCas: Hierarchical Temporal Graph Attention Networks for Popularity Prediction in Information Cascades
by: Zhang, Zhizhen, et al.
Published: (2023)
by: Zhang, Zhizhen, et al.
Published: (2023)
Hypergraph-Based Dynamic Graph Node Classification
by: Ma, Xiaoxu, et al.
Published: (2024)
by: Ma, Xiaoxu, et al.
Published: (2024)
Similar Items
-
Advancing Opinion Dynamics Modeling with Neural Diffusion-Convection-Reaction Equation
by: Gong, Chenghua, et al.
Published: (2026) -
BotDGT: Dynamicity-aware Social Bot Detection with Dynamic Graph Transformers
by: He, Buyun, et al.
Published: (2024) -
HMSG: Heterogeneous Graph Neural Network based on Metapath Subgraph Learning
by: Cai, Xinjun, et al.
Published: (2021) -
An Effective Index for Truss-based Community Search on Large Directed Graphs
by: Ai, Wei, et al.
Published: (2024) -
SP-GCRL: Influence Maximization on Incomplete Social Graphs
by: Niu, Haohua, et al.
Published: (2026)