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Graph Mining

Papers

Showing 150 of 174 papers

TitleStatusHype
Efficient Parallel Genetic Algorithm for Perturbed Substructure Optimization in Complex NetworkCode2
DGCLUSTER: A Neural Framework for Attributed Graph Clustering via Modularity MaximizationCode1
Interactive Text Graph Mining with a Prolog-based Dialog EngineCode1
TigerLily: Finding drug interactions in silico with the GraphCode1
Zero-Shot Scene Graph Relation Prediction through Commonsense Knowledge IntegrationCode1
Fine-tuning Graph Neural Networks by Preserving Graph Generative PatternsCode1
OAG-Bench: A Human-Curated Benchmark for Academic Graph MiningCode1
Subgraph Federated Learning with Missing Neighbor GenerationCode1
Graph Sequential Neural ODE Process for Link Prediction on Dynamic and Sparse GraphsCode1
Theoretically Improving Graph Neural Networks via Anonymous Walk Graph KernelsCode1
Unsupervised Differentiable Multi-aspect Network EmbeddingCode1
Enhancing Graph Neural Network-based Fraud Detectors against Camouflaged FraudstersCode1
GAT-COBO: Cost-Sensitive Graph Neural Network for Telecom Fraud DetectionCode1
Federated Graph Classification over Non-IID GraphsCode1
When Graph Neural Network Meets Causality: Opportunities, Methodologies and An OutlookCode1
NAGphormer: A Tokenized Graph Transformer for Node Classification in Large GraphsCode1
Reinforcement learning on graphs: A surveyCode1
Revisiting Modularity Maximization for Graph Clustering: A Contrastive Learning PerspectiveCode1
FedEgo: Privacy-preserving Personalized Federated Graph Learning with Ego-graphsCode1
From Time Series to Networks in R with the ts2net PackageCode1
Graph Auto-Encoder Via Neighborhood Wasserstein ReconstructionCode1
Task-Adaptive Few-shot Node ClassificationCode1
Twitch Gamers: a Dataset for Evaluating Proximity Preserving and Structural Role-based Node EmbeddingsCode1
When Heterophily Meets Heterogeneity: Challenges and a New Large-Scale Graph BenchmarkCode1
User Modeling in the Era of Large Language Models: Current Research and Future DirectionsCode1
Code Recommendation for Open Source Software DevelopersCode1
Domain Adversarial Spatial-Temporal Network: A Transferable Framework for Short-term Traffic Forecasting across CitiesCode1
Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on GraphsCode1
Beyond Homophily: Structure-aware Path Aggregation Graph Neural NetworkCode1
Correlation-Aware Graph Convolutional Networks for Multi-Label Node ClassificationCode1
A Survey on Role-Oriented Network EmbeddingCode1
Fairness in Graph Mining: A SurveyCode1
All the World's a (Hyper)Graph: A Data DramaCode1
Learning Opinion Dynamics From Social TracesCode1
Persona2vec: A Flexible Multi-role Representations Learning Framework for GraphsCode1
Refining Wikidata Taxonomy using Large Language ModelsCode1
Relphormer: Relational Graph Transformer for Knowledge Graph RepresentationsCode1
Detecting Communities from Heterogeneous Graphs: A Context Path-based Graph Neural Network ModelCode1
Adversarial Directed Graph EmbeddingCode1
Contrastive Meta-Learning for Few-shot Node ClassificationCode0
A Survey on Fairness for Machine Learning on GraphsCode0
Permutation-equivariant and Proximity-aware Graph Neural Networks with Stochastic Message PassingCode0
Connecting the Dots: What Graph-Based Text Representations Work Best for Text Classification Using Graph Neural Networks?Code0
AGATHA: Automatic Graph-mining And Transformer based Hypothesis generation ApproachCode0
Incorporating Temporal Information in Entailment Graph MiningCode0
A Robust and Generalized Framework for Adversarial Graph EmbeddingCode0
High Quality, Scalable and Parallel Community Detectionfor Large Real GraphsCode0
Fast Maximum k-Plex Algorithms Parameterized by Small Degeneracy GapsCode0
Accurate and Fast Estimation of Temporal Motifs using Path SamplingCode0
Blindness to Modality Helps Entailment Graph MiningCode0
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