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Graph Mining

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Showing 1–25 of 174 papers

TitleStatusHype
Differentially Private Densest-k-Subgraph—0
Scalable Substructure Discovery Algorithm For Homogeneous Multilayer Networks—0
Towards Unbiased Federated Graph Learning: Label and Topology Perspectives—0
Efficient Parallel Genetic Algorithm for Perturbed Substructure Optimization in Complex NetworkCode2
Large Language Models Meet Graph Neural Networks: A Perspective of Graph Mining—0
Enhancing Supply Chain Transparency in Emerging Economies Using Online Contents and LLMs—0
Towards Scalable and Deep Graph Neural Networks via Noise Masking—0
Correlation-Aware Graph Convolutional Networks for Multi-Label Node ClassificationCode1
Data-driven development of cycle prediction models for lithium metal batteries using multi modal mining—0
Web Scale Graph Mining for Cyber Threat Intelligence—0
Higher-Order GNNs Meet Efficiency: Sparse Sobolev Graph Neural NetworksCode0
Accurate and Fast Estimation of Temporal Motifs using Path SamplingCode0
Refining Wikidata Taxonomy using Large Language ModelsCode1
Towards Graph Prompt Learning: A Survey and Beyond—0
A Versatile Framework for Attributed Network Clustering via K-Nearest Neighbor AugmentationCode0
Covering a Graph with Dense Subgraph Families, via Triangle-Rich SetsCode0
When Heterophily Meets Heterogeneity: Challenges and a New Large-Scale Graph BenchmarkCode1
Is Your Large Language Model Knowledgeable or a Choices-Only Cheater?Code0
Unveiling Global Interactive Patterns across Graphs: Towards Interpretable Graph Neural NetworksCode0
Revisiting Modularity Maximization for Graph Clustering: A Contrastive Learning PerspectiveCode1
Toward Structure Fairness in Dynamic Graph Embedding: A Trend-aware Dual Debiasing ApproachCode0
Graph Mining under Data scarcity—0
Anomaly Detection in Dynamic Graphs: A Comprehensive Survey—0
Heterophilous Distribution Propagation for Graph Neural Networks—0
Revisiting the Message Passing in Heterophilous Graph Neural NetworksCode0
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