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Graph Mining

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Showing 76–100 of 174 papers

TitleStatusHype
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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