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Progress on half a century of process modelling research in steelmaking: a review
Process modelling in steelmaking started from mid-sixties and witnessed rapid growth and wide spread applications during the last fifty years or so....
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Extract Implicit Semantic Friends and Their Influences from Bipartite Network for Social Recommendation
Social recommendation often incorporates trusted social links with user-item interactions to enhance rating prediction. Although methods that...
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Technology is key to green coal mining
Greening of coal through sustainable mining in India requires extensive deployment of technology. This article briefly highlights the role of...
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Multi-view Heterogeneous Graph Neural Networks for Node Classification
Recently, with graph neural networks (GNNs) becoming a powerful technique for graph representation, many excellent GNN-based models have been...
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Graph-Enhanced Prompt Learning for Personalized Review Generation
Personalized review generation is significant for e-commerce applications, such as providing explainable recommendation and assisting the composition...
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Channel-Enhanced Contrastive Cross-Domain Sequential Recommendation
Sequential recommendation help users find interesting items by modeling the dynamic user-item interaction sequences. Due to the data sparseness...
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Erdos: A Novel Blockchain Consensus Algorithm with Equitable Node Selection and Deterministic Block Finalization
The introduction of blockchain technology has brought about significant transformation in the realm of digital transactions, providing a secure and...
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Decoupling Anomaly Discrimination and Representation Learning: Self-supervised Learning for Anomaly Detection on Attributed Graph
Anomaly detection on attributed graphs is a crucial topic for practical applications. Existing methods suffer from semantic mixture and imbalance...
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Category-Level Contrastive Learning for Unsupervised Hashing in Cross-Modal Retrieval
Unsupervised hashing for cross-modal retrieval has received much attention in the data mining area. Recent methods rely on image-text paired data to...
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An Overview Based on the Overall Architecture of Traffic Forecasting
With the exponential increase in the urban population, urban transportation systems are confronted with numerous challenges. Traffic congestion is...
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Uncovering Flat and Hierarchical Topics by Community Discovery on Word Co-occurrence Network
Topic modeling aims to discover latent themes in collections of text documents. It has various applications across fields such as sociology, opinion...
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A Meta-adversarial Framework for Cross-Domain Cold-Start Recommendation
The cold-start problem in recommender systems has been facing a great challenge. Cross-domain recommendation can improve the performance of...
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Leveraging Semantic Information for Enhanced Community Search in Heterogeneous Graphs
Community search (CS) is a vital research area in network science that focuses on discovering personalized communities for query vertices from...
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FL-GUARD: A Holistic Framework for Run-Time Detection and Recovery of Negative Federated Learning
Federated learning (FL) is a promising approach for learning a model from data distributed on massive clients without exposing data privacy. It works...
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Efficient Top-k Frequent Itemset Mining on Massive Data
Top- k frequent itemset mining (top- k FIM) plays an important role in many practical applications. It reports the k itemsets with the highest...
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Where To Go at the Next Timestamp
The next Point of Interest ( POI ) recommendation is the core technology of smart city. Current state-of-the-art models attempt to improve the accuracy...
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Construct and Query A Fine-Grained Geospatial Knowledge Graph
In this paper, we propose the fine-grained geospatial knowledge graph (FineGeoKG), which can capture the neighboring relations between geospatial...
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Explicit Behavior Interaction with Heterogeneous Graph for Multi-behavior Recommendation
Multi-behavior recommendation systems exploit multi-type user–item interactions (e.g., clicking, adding to cart and collecting) as auxiliary...
