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Graph Mining

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Showing 51–100 of 174 papers

TitleStatusHype
Data-driven development of cycle prediction models for lithium metal batteries using multi modal mining—0
Deep Efficient Private Neighbor Generation for Subgraph Federated Learning—0
Deep Manifold Learning with Graph Mining—0
Developing a concept-level knowledge base for sentiment analysis in Singlish—0
Diagonal Graph Convolutional Networks with Adaptive Neighborhood Aggregation—0
Differentially Private Densest-k-Subgraph—0
Differentially Private Densest Subgraph Detection—0
Discourse Analysis of Covid-19 in Persian Twitter Social Networks Using Graph Mining and Natural Language Processing—0
Discovering Bands from Graphs—0
Enhancing Supply Chain Transparency in Emerging Economies Using Online Contents and LLMs—0
Evaluating COVID-19 Sequence Data Using Nearest-Neighbors Based Network Model—0
EvoNet: A Neural Network for Predicting the Evolution of Dynamic Graphs—0
Few-Shot Learning on Graphs—0
Minimizing low-rank models of high-order tensors: Hardness, span, tight relaxation, and applications—0
FocusedCleaner: Sanitizing Poisoned Graphs for Robust GNN-based Node Classification—0
Fouille de graphes sous contraintes linguistiques pour l'exploration de grands textes (Graph Mining Under Linguistic Constraints to Explore Large Texts) [in French]—0
Functional2Structural: Cross-Modality Brain Networks Representation Learning—0
How much progress have we made in neural network training? A New Evaluation Protocol for Benchmarking Optimizers—0
Hybrid ASP-based Approach to Pattern Mining—0
Identifying Illicit Accounts in Large Scale E-payment Networks -- A Graph Representation Learning Approach—0
Introducing New Node Prediction in Graph Mining: Predicting All Links from Isolated Nodes with Graph Neural Networks—0
Investigating ADR mechanisms with knowledge graph mining and explainable AI—0
Jaccard-constrained dense subgraph discovery—0
JuryGCN: Quantifying Jackknife Uncertainty on Graph Convolutional Networks—0
KG-MDL: Mining Graph Patterns in Knowledge Graphs with the MDL Principle—0
kNN-Embed: Locally Smoothed Embedding Mixtures For Multi-interest Candidate Retrieval—0
Knowledge Representation Analysis of Graph Mining—0
Large Language Models Meet Graph Neural Networks: A Perspective of Graph Mining—0
Learning Attributed Graphlets: Predictive Graph Mining by Graphlets with Trainable Attribute—0
Learning Fine-grained Relations from Chinese User Generated Categories—0
Learning node embeddings via summary graphs: a brief theoretical analysis—0
Link Weight Prediction with Node Embeddings—0
A Bird's-Eye Tutorial of Graph Attention Architectures—0
Mining And-Or Graphs for Graph Matching and Object Discovery—0
Mining Large Quasi-cliques with Quality Guarantees from Vertex Neighborhoods—0
Mining On Alzheimer's Diseases Related Knowledge Graph to Identity Potential AD-related Semantic Triples for Drug Repurposing—0
Motif Prediction with Graph Neural Networks—0
Multi-view Graph Embedding with Hub Detection for Brain Network Analysis—0
MuseGraph: Graph-oriented Instruction Tuning of Large Language Models for Generic Graph Mining—0
Network Representation Learning: From Preprocessing, Feature Extraction to Node Embedding—0
Online Dense Subgraph Discovery via Blurred-Graph Feedback—0
PGR: A Graph Repository of Protein 3D-Structures—0
PI-GNN: Towards Robust Semi-Supervised Node Classification against Noisy Labels—0
PSpan:Mining Frequent Subnets of Petri Nets—0
RecoMed: A Knowledge-Aware Recommender System for Hypertension Medications—0
Relationship Queries on Large graphs using Pregel—0
Safe Pattern Pruning: An Efficient Approach for Predictive Pattern Mining—0
Scalable graph-based individual named entity identification—0
Scalable Substructure Discovery Algorithm For Homogeneous Multilayer Networks—0
Variational Graph Autoencoder for Heterogeneous Information Networks with Missing and Inaccurate Attributes—0
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