Graph Neural Networks (GNNs) have emerged as effective tools in recommender systems. Among various GNN models, LightGCN is distinguished by its simplicity and outstanding performance. Its efficiency has led to widespread adoption across different domains,...

Group interactions arise in various scenarios in real-world systems: collaborations of researchers, co-purchases of products, and discussions in online Q&A sites, to name a few. Such higher-order relations are naturally modeled as hypergraphs, which ...

Graphs are widely used for representing pairwise interactions in complex systems. Since such real-world graphs are large and often evergrowing, sampling subgraphs is useful for various purposes, including simulation, visualization, stream processing, ...

Random walk with restart (RWR) is a widely-used measure of node similarity in graphs, and it has proved useful for ranking, community detection, link prediction, anomaly detection, etc. Since RWR is typically required to be computed separately for ...

Hypergraphs are a powerful abstraction for modeling high-order relations, which are ubiquitous in many fields. A hypergraph consists of nodes and hyperedges (i.e., subsets of nodes); and there have been a number of attempts to extend the notion of ...$\mathit{}$$\mathbf{}\mathit{}\mathbf{}\mathit{}\mathbf{}$$\mathit{}$$\mathit{}$$\mathit{}$$\mathit{}$$\mathbf{}\mathit{}\mathbf{}\mathit{}\mathbf{}$$\mathit{}$$\mathit{}$$\mathbf{}\mathit{}\mathbf{}\mathit{}\mathbf{}$$\mathit{}$

Group interactions are prevalent in various complex systems (e.g., collaborations of researchers and group discussions on online Q&A sites), and they are commonly modeled as hypergraphs. Hyperedges, which compose a hypergraph, are non-empty subsets of ...

This paper summarizes the content of the 28 tutorials that have been given at The Web Conference 2023.

Group interactions arise in our daily lives (email communications, on-demand ride sharing, and comment interactions on online communities, to name a few), and they together form hypergraphs that evolve over time. Given such temporal hypergraphs, ...${}^{}$${}^{}$$$$\mathrm{}$

We present a novel unsupervised domain adaptation method for semantic segmentation that generalizes a model trained with source images and corresponding ground-truth labels to a target domain. A key to domain adaptive semantic segmentation is to ...$$$$

Group interactions are prevalent in various complex systems (e.g., collaborations of researchers and group discussions on online Q&A sites), and they are commonly modeled as hypergraphs. Hyperedges, which compose a hypergraph, are non-empty subsets of ...

Graphs are widely used for representing pairwise interactions in complex systems. Since such real-world graphs are large and often evergrowing, sampling a small representative subgraph is indispensable for various purposes: simulation, visualization, ...

Hypergraphs, a generalization of graphs, naturally represent groupwise relationships among multiple individuals or objects, which are common in many application areas, including web, bioinformatics, and social networks. The flexibility in the number of ...

Hypergraphs naturally represent group interactions, which are omnipresent in many domains: collaborations of researchers, co-purchases of items, joint interactions of proteins, to name a few. In this work, we propose tools for answering the following ...

Complex relationships among entities can be modeled very effectively using hypergraphs. Hypergraphs model real-world data by allowing a hyperedge to include two or more entities. Clustering of hypergraphs enables us to group the similar entities ...

We formally define a hyperlink classification problem in web search by classifying hyperlinks into three classes based on their roles: navigation, suggestion, and action. Real-world web graph datasets are generated for this task. We approach the ...

As business environments are rapidly changing, the manufacturing system must be reconfigured to adapt to various customer needs. FMS (Flexible manufacturing System) is regarded as one of the most efficient methods in reducing or eliminating today's ...

As business environments are rapidly changing, the manufacturing system must be reconfigured to adapt to various customer needs. In order to cope with this challenge, it is quintessential to design and verify industrial control logic rapidly and easily ...

Recently, strong interests in the real-time performance management are increasing to gain competitive advantages in the rapidly changing business environment. For better business performance or continuous process improvement of an enterprise, real-time ...

For better business performance or continuous process improvement of an enterprise, real-time measurement and analysis of the performance of managerial activities is essential. Business Activity Monitoring (BAM) which provides real-time access to key ...