A Dynamic Knowledge Update-Driven Model with Large Language Models for Fake News Detection

Di Jin, Jun Yang, Xiaobao Wang +3

A Graph Foundation Model with Spectral Parsing and Prototype-Guided Spatial Propagation

Ankang Yang, Jitao Zhao, Dongxiao He +3

CECOR: Correction-oriented synthetic data construction for factual error correction

Lei Zhu, Xiaobao Wang, Jianbiao Yang +4

Heterogeneous Graph Neural Networks using Self-supervised Reciprocally Contrastive Learning

Cuiying Huo, Dongxiao He, Yawen Li +5

Enriching Multimodal Sentiment Analysis through Textual Emotional Descriptions of Visual-Audio Content

Sheng Wu, Xiaobao Wang, Longbiao Wang +2

Genetic Algorithm with Ensemble Learning for Detecting Community Structure in Complex Networks

Dongxiao He, Zhe Wang, Bin Yang +1

Stealthy Yet Effective: Distribution-Preserving Backdoor Attacks on Graph Classification

Xiaobao Wang, Ruoxiao Sun, Yujun Zhang +4

Revisiting Positive Samples in Graph Contrastive Learning: From the Perspective of Message Passing

Lianze Shan, Ningchong Wang, Jitao Zhao +2

GOODAT: Towards Test-time Graph Out-of-Distribution Detection

Luzhi Wang, Dongxiao He, He Zhang +5

Identification of hybrid node and link communities in complex networks

Dongxiao He, Di Jin, Weixiong Zhang

Unified Multi-Domain Graph Pre-training for Homogeneous and Heterogeneous Graphs via Domain-Specific Expert Encoding

Chundong Liang, Yongqi Huang, Dongxiao He +4

T2-GNN: Graph Neural Networks for Graphs with Incomplete Features and Structure via Teacher-Student Distillation

Cuiying Huo, Di Jin, Yawen Li +3

RAW-GNN: RAndom Walk Aggregation based Graph Neural Network

Di Jin, Rui Wang, Meng Ge +4

Contrastive Representation for Interactive Recommendation

Jingyu Li, Zhiyong Feng, Dongxiao He +3

AIMDiT: Modality Augmentation and Interaction via Multimodal Dimension Transformation for Emotion Recognition in Conversations

Sheng Wu, Jiaxing Liu, Longbiao Wang +3

Q-GNN: Query-Conditioned Graph Neural Networks with Type Awareness for Knowledge Graph Completion

Dongxiao He, Ruqiong Zhang, Zhizhi Yu +4

Powerful Graph Convolutioal Networks with Adaptive Propagation Mechanism for Homophily and Heterophily

Tao Wang, Rui Wang, Di Jin +2

Str-GCL: Structural Commonsense Driven Graph Contrastive Learning

Dongxiao He, Yongqi Huang, Jitao Zhao +2

TrustGNN: Graph Neural Network based Trust Evaluation via Learnable Propagative and Composable Nature

Cuiying Huo, Di Jin, Chundong Liang +3

Block Modeling-Guided Graph Convolutional Neural Networks

Dongxiao He, Chundong Liang, Huixin Liu +3

GP2F: Cross-Domain Graph Prompting with Adaptive Fusion of Pre-trained Graph Neural Networks

Dongxiao He, Wenxuan Sun, Yongqi Huang +2

Does GCL Need a Large Number of Negative Samples? Enhancing Graph Contrastive Learning with Effective and Efficient Negative Sampling

Yongqi Huang, Jitao Zhao, Dongxiao He +3

LEDA: Latent Semantic Distribution Alignment for Multi-domain Graph Pre-training

Lianze Shan, Jitao Zhao, Dongxiao He +3

Rethinking Contrastive Learning in Graph Anomaly Detection: A Clean-View Perspective

Di Jin, Jingyi Cao, Xiaobao Wang +4

HTCInfoMax: A Global Model for Hierarchical Text Classification via Information Maximization

Zhongfen Deng, Hao Peng, Dongxiao He +2

CHARM: A Multimodal Graph Foundation Model with Hierarchical Context Modeling for Zero-Shot Transfer

Ankang Yang, Jitao Zhao, Di Jin +2

The paper introduces CHARM, a multimodal graph foundation model that uses hierarchical context modeling to enable zero-shot transfer across graph domains without fine-tuning. It en…

An Ant-Based Algorithm with Local Optimization for Community Detection in Large-Scale Networks

Dongxiao He, Jie Liu, Bo Yang +3

A Survey of Community Detection Approaches: From Statistical Modeling to Deep Learning

Di Jin, Zhizhi Yu, Pengfei Jiao +5

Genetic Algorithm with a Local Search Strategy for Discovering Communities in Complex Networks

Dayou Liu, Di Jin, Carlos Baquero +3

One Prompt Fits All: Universal Graph Adaptation for Pretrained Models

Yongqi Huang, Jitao Zhao, Dongxiao He +5

CHoE: Cross-Domain Heterogeneous Graph Prompt Learning via Structure-Conditioned Experts

Peiyuan Li, Yongqi Huang, Jitao Zhao +3

KG-BiLM: Knowledge Graph Embedding via Bidirectional Language Models

Zirui Chen, Xin Wang, Zhao Li +2

Ant Colony Optimization with a New Random Walk Model for Community Detection in Complex Networks

Di Jin, Dayou Liu, Bo Yang +2

A Survey on Temporal Interaction Graph Representation Learning: Progress, Challenges, and Opportunities

Pengfei Jiao, Hongjiang Chen, Xuan Guo +3

What Makes Graph Unified? Principles and Generative Sliding-Window Transformer for Graph Foundation Models

Dongxiao He, Siqi Liu, Jitao Zhao +3

Beyond Feature and Structure Alignment: Learning Transferable Propagation Knowledge for Graph Foundation Models

Yi Wang, Jitao Zhao, Di Jin +1

Single-Node Trigger Backdoor Attacks in Graph-Based Recommendation Systems

Runze Li, Di Jin, Xiaobao Wang +3

GCN for HIN via Implicit Utilization of Attention and Meta-paths

Di Jin, Zhizhi Yu, Dongxiao He +3

Discovering link communities in complex networks by exploiting link dynamics

Dongxiao He, Dayou Liu, Weixiongzhang +2

MUG: Meta-path-aware Universal Heterogeneous Graph Pre-Training

Lianze Shan, Jitao Zhao, Dongxiao He +3

Markov random walk under constraint for discovering overlapping communities in complex networks

Di Jin, Bo Yang, Carlos Baquero +3

Beyond the Known: Novel Class Discovery for Open-world Graph Learning

Yucheng Jin, Yun Xiong, Juncheng Fang +5

AgentGFM: A Graph Foundation Model with Node-Agent Information-Flow Control

Jingbo Cui, Jitao Zhao, Di Jin +1

The paper introduces AgentGFM, a graph foundation model where each node acts as an agent that autonomously decides how to propagate information using a trainable policy, enabling a…