research
∙
06/15/2023
Hyperbolic Representation Learning: Revisiting and Advancing
The non-Euclidean geometry of hyperbolic spaces has recently garnered co...
share
research
∙
05/08/2023
WSFE: Wasserstein Sub-graph Feature Encoder for Effective User Segmentation in Collaborative Filtering
Maximizing the user-item engagement based on vectorized embeddings is a ...
research
∙
12/04/2022
Hyperbolic Curvature Graph Neural Network
Hyperbolic space is emerging as a promising learning space for represent...
research
∙
11/08/2022
Hyperbolic Graph Representation Learning: A Tutorial
Graph-structured data are widespread in real-world applications, such as...
research
∙
07/19/2022
HICF: Hyperbolic Informative Collaborative Filtering
Considering the prevalence of the power-law distribution in user-item ne...
research
∙
04/27/2022
Discovering Representative Attribute-stars via Minimum Description Length
Graphs are a popular data type found in many domains. Numerous technique...
research
∙
04/18/2022
HRCF: Enhancing Collaborative Filtering via Hyperbolic Geometric Regularization
In large-scale recommender systems, the user-item networks are generally...
research
∙
04/18/2022
BSAL: A Framework of Bi-component Structure and Attribute Learning for Link Prediction
Given the ubiquitous existence of graph-structured data, learning the re...
research
∙
04/16/2022
TeleGraph: A Benchmark Dataset for Hierarchical Link Prediction
Link prediction is a key problem for network-structured data, attracting...
research
∙
02/28/2022
Hyperbolic Graph Neural Networks: A Review of Methods and Applications
Graph neural networks generalize conventional neural networks to graph-s...
research
∙
01/21/2022
Enhancing Hyperbolic Graph Embeddings via Contrastive Learning
Recently, hyperbolic space has risen as a promising alternative for semi...
research
∙
08/14/2021
Modeling Scale-free Graphs for Knowledge-aware Recommendation
Aiming to alleviate data sparsity and cold-start problems of traditional...
research
∙
07/08/2021
Discrete-time Temporal Network Embedding via Implicit Hierarchical Learning in Hyperbolic Space
Representation learning over temporal networks has drawn considerable at...
research
∙
02/27/2021
