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Graph Mining

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Showing 51–100 of 174 papers

TitleStatusHype
A Versatile Framework for Attributed Network Clustering via K-Nearest Neighbor AugmentationCode0
Covering a Graph with Dense Subgraph Families, via Triangle-Rich SetsCode0
Is Your Large Language Model Knowledgeable or a Choices-Only Cheater?Code0
Unveiling Global Interactive Patterns across Graphs: Towards Interpretable Graph Neural NetworksCode0
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
ChebMixer: Efficient Graph Representation Learning with MLP Mixer—0
MuseGraph: Graph-oriented Instruction Tuning of Large Language Models for Generic Graph Mining—0
Graph-Skeleton: ~1% Nodes are Sufficient to Represent Billion-Scale GraphCode0
Learning Attributed Graphlets: Predictive Graph Mining by Graphlets with Trainable Attribute—0
Introducing New Node Prediction in Graph Mining: Predicting All Links from Isolated Nodes with Graph Neural Networks—0
Deep Efficient Private Neighbor Generation for Subgraph Federated Learning—0
Cost Aware Untargeted Poisoning Attack against Graph Neural Networks,—0
Variational Graph Autoencoder for Heterogeneous Information Networks with Missing and Inaccurate Attributes—0
Fast Graph Condensation with Structure-based Neural Tangent KernelCode0
KG-MDL: Mining Graph Patterns in Knowledge Graphs with the MDL Principle—0
Jaccard-constrained dense subgraph discovery—0
Independent Distribution Regularization for Private Graph EmbeddingCode0
Analysis of Insect-Plant Interactions Affected by Mining Operations, A Graph Mining Approach—0
Contrastive Meta-Learning for Few-shot Node ClassificationCode0
Fast Maximum k-Plex Algorithms Parameterized by Small Degeneracy GapsCode0
Graph-Aware Language Model Pre-Training on a Large Graph Corpus Can Help Multiple Graph Applications—0
GPT4Graph: Can Large Language Models Understand Graph Structured Data ? An Empirical Evaluation and BenchmarkingCode0
Connecting the Dots: What Graph-Based Text Representations Work Best for Text Classification Using Graph Neural Networks?Code0
PGB: A PubMed Graph Benchmark for Heterogeneous Network Representation LearningCode0
Transition Propagation Graph Neural Networks for Temporal NetworksCode0
Graph Mining for Cybersecurity: A Survey—0
Graph Neural Network Surrogates of Fair Graph Filtering—0
SynGraphy: Succinct Summarisation of Large Networks via Small Synthetic Representative Graphs—0
Adaptive Depth Graph Attention Networks—0
Signed Directed Graph Contrastive Learning with Laplacian Augmentation—0
NetEffect: Discovery and Exploitation of Generalized Network EffectsCode0
Trajectory Flow Map: Graph-based Approach to Analysing Temporal Evolution of Aggregated Traffic Flows in Large-scale Urban Networks—0
Evaluating COVID-19 Sequence Data Using Nearest-Neighbors Based Network Model—0
FocusedCleaner: Sanitizing Poisoned Graphs for Robust GNN-based Node Classification—0
Overlapping Community Detection using Dynamic Dilated Aggregation in Deep Residual GCNCode0
Minimizing low-rank models of high-order tensors: Hardness, span, tight relaxation, and applications—0
JuryGCN: Quantifying Jackknife Uncertainty on Graph Convolutional Networks—0
Boosting Graph Neural Networks via Adaptive Knowledge Distillation—0
Less is More: SlimG for Accurate, Robust, and Interpretable Graph MiningCode0
Contrastive Graph Few-Shot Learning—0
MentorGNN: Deriving Curriculum for Pre-Training GNNsCode0
GSim: A Graph Neural Network based Relevance Measure for Heterogeneous Graphs—0
Deep Manifold Learning with Graph Mining—0
Learning node embeddings via summary graphs: a brief theoretical analysis—0
Time-aware Dynamic Graph Embedding for Asynchronous Structural Evolution—0
Transferable Graph Backdoor Attack—0
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