yusuke1997/dblp-id-title huggingface dataset:
Heterogeneous Translated Hashing: A Scalable Solution Towards Multi-Modal Similarity Search
Multiple Graphs and Low-Rank Embedding for Multi-Source Heterogeneous Domain Adaptation
Large-Scale Bayesian Probabilistic Matrix Factorization with Memo-Free Distributed Variational Inference
Fine-Grained Air Quality Inference with Remote Sensing Data and Ubiquitous Urban Data
Fast Parallel Algorithms for Counting and Listing Triangles in Big Graphs
Tied Kronecker Product Graph Models to Capture Variance in Network Populations
Semantic text similarity using corpus-based word similarity and string similarity
B h BF: A Bloom Filter Using B h Sequences for Multi-set Membership Query
Put Three and Three Together: Triangle-Driven Community Detection
Domain-Specific Keyword Extraction Using Joint Modeling of Local and Global Contextual Semantics
Personalized Federated Learning on Non-IID Data via Group-based Meta-learning
A Hybrid Continuous-Time Dynamic Graph Representation Learning Model by Exploring Both Temporal and Repetitive Information
Large-Scale K-Clustering
From Context to Distance: Learning Dissimilarity for Categorical Data Clustering
A Framework for Hierarchical Ensemble Clustering
Network Sampling: From Static to Streaming Graphs
Quantum Nearest Neighbor Collaborative Filtering Algorithm for Recommendation System
HW-Forest: Deep Forest with Hashing Screening and Window Screening
Introduction to Special Issue on Large-Scale Data Mining
Crowdsourcing Truth Inference via Reliability-Driven Multi-View Graph Embedding
Knowledge Distillation with Attention for Deep Transfer Learning of Convolutional Networks
Bradykinesia Recognition in Parkinson's Disease via Single RGB Video
REMIAN: Real-Time and Error-Tolerant Missing Value Imputation
TipTap: Approximate Mining of Frequent k -Subgraph Patterns in Evolving Graphs
Centralized and Distributed Anonymization for High-Dimensional Healthcare Data
Towards Sequence Utility Maximization under Utility Occupancy Measure
MICCF: A Mutual Information Constrained Clustering Framework for Learning Clustering-Oriented Feature Representations
Bayesian Graph Local Extrema Convolution with Long-tail Strategy for Misinformation Detection
Context-Aware Semantic Annotation of Mobility Records
Extrapolation errors in linear model trees
Self-weighted Multi-view Fuzzy Clustering
High-Utility Itemset Mining with Effective Pruning Strategies
The Distance Function Optimization for the Near Neighbors-Based Classifiers
Optimizing Data Misuse Detection
Leveraging Kernel-Incorporated Matrix Factorization for App Recommendation
Data Sharing via Differentially Private Coupled Matrix Factorization
Who Influenced You? Predicting Retweet via Social Influence Locality
iGRM: Improved Grey Relational Model and Its Ensembles for Occupancy Sensing in Internet of Things Applications
Efficient Version Space Algorithms for Human-in-the-loop Model Development
Exploiting User Posts for Web Document Summarization
Stochastic Block Models for Complex Network Analysis: A Survey
DeepCPR: Deep Path Reasoning Using Sequence of User-Preferred Attributes for Conversational Recommendation
LMACL: Improving Graph Collaborative Filtering with Learnable Model Augmentation Contrastive Learning
A Scalable Redefined Stochastic Blockmodel
An Interpretable Deep Learning-based Model for Decision-making through Piecewise Linear Approximation
Node Embedding Preserving Graph Summarization
Distributed Pseudo-Likelihood Method for Community Detection in Large-Scale Networks
Universal and Distinct Properties of Communication Dynamics: How to Generate Realistic Inter-event Times
Influence Maximization: Seeding Based on Community Structure
Accelerating Large-Scale Heterogeneous Interaction Graph Embedding Learning via Importance Sampling
User Embedding for Expert Finding in Community Question Answering
Concept Evolution Detecting over Feature Streams
Attacking Social Media via Behavior Poisoning