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Graph Mining

Papers

Showing 101150 of 174 papers

TitleStatusHype
Signed Directed Graph Contrastive Learning with Laplacian Augmentation0
SynGraphy: Succinct Summarisation of Large Networks via Small Synthetic Representative Graphs0
Time-aware Dynamic Graph Embedding for Asynchronous Structural Evolution0
TopicBERT: A Transformer transfer learning based memory-graph approach for multimodal streaming social media topic detection0
Towards Graph Prompt Learning: A Survey and Beyond0
Towards Scalable and Deep Graph Neural Networks via Noise Masking0
Towards Unbiased Federated Graph Learning: Label and Topology Perspectives0
Trajectory Flow Map: Graph-based Approach to Analysing Temporal Evolution of Aggregated Traffic Flows in Large-scale Urban Networks0
Transferable Graph Backdoor Attack0
TwitterMancer: Predicting Interactions on Twitter Accurately0
Unsupervised Person Slot Filling based on Graph Mining0
Visual Graph Mining0
Web Scale Graph Mining for Cyber Threat Intelligence0
Geometric Matrix Completion via Sylvester Multi-Graph Neural Network0
Gophormer: Ego-Graph Transformer for Node Classification0
Graph-Aware Language Model Pre-Training on a Large Graph Corpus Can Help Multiple Graph Applications0
GraphMineSuite: Enabling High-Performance and Programmable Graph Mining Algorithms with Set Algebra0
Graph Mining for Cybersecurity: A Survey0
Graph Mining Meets Crowdsourcing: Extracting Experts for Answer Aggregation0
Graph Mining under Data scarcity0
Graph Neural Network Surrogates of Fair Graph Filtering0
Graph Sanitation with Application to Node Classification0
AKE-GNN: Effective Graph Learning with Adaptive Knowledge Exchange0
GSim: A Graph Neural Network based Relevance Measure for Heterogeneous Graphs0
Hcore-Init: Neural Network Initialization based on Graph Degeneracy0
Heterophilous Distribution Propagation for Graph Neural Networks0
High Quality, Scalable and Parallel Community Detectionfor Large Real Graphs0
How much progress have we made in neural network training? A New Evaluation Protocol for Benchmarking Optimizers0
Fast Graph Condensation with Structure-based Neural Tangent KernelCode0
Autonomous Graph Mining Algorithm Search with Best Speed/Accuracy Trade-offCode0
Model Degradation Hinders Deep Graph Neural NetworksCode0
GPT4Graph: Can Large Language Models Understand Graph Structured Data ? An Empirical Evaluation and BenchmarkingCode0
Fast Attributed Graph Embedding via Density of StatesCode0
Attention Models in Graphs: A SurveyCode0
Accelerating COVID-19 research with graph mining and transformer-based learningCode0
A Survey on Fairness for Machine Learning on GraphsCode0
Deep Network Embedding for Graph Representation Learning in Signed NetworksCode0
The Generalized Mean Densest Subgraph ProblemCode0
Covering a Graph with Dense Subgraph Families, via Triangle-Rich SetsCode0
Permutation-equivariant and Proximity-aware Graph Neural Networks with Stochastic Message PassingCode0
False Information on Web and Social Media: A SurveyCode0
Graph-Skeleton: ~1% Nodes are Sufficient to Represent Billion-Scale GraphCode0
Overlapping Community Detection using Dynamic Dilated Aggregation in Deep Residual GCNCode0
Contrastive Meta-Learning for Few-shot Node ClassificationCode0
PGB: A PubMed Graph Benchmark for Heterogeneous Network Representation LearningCode0
A Robust and Generalized Framework for Adversarial Graph EmbeddingCode0
Higher-Order GNNs Meet Efficiency: Sparse Sobolev Graph Neural NetworksCode0
NetEffect: Discovery and Exploitation of Generalized Network EffectsCode0
Pitfalls of Graph Neural Network EvaluationCode0
AGATHA: Automatic Graph-mining And Transformer based Hypothesis generation ApproachCode0
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