HYPER2: Hyperbolic embedding for hyper-relational link prediction

S Yan, Z Zhang, X Sun, G Xu, L Jin, S Li - Neurocomputing, 2022 - Elsevier
Abstract Knowledge graphs (KGs) Embedding has been broadly studied in recent years.
However, less light is shed on the ubiquitous hyper-relational KGs. Most existing hyper-…

LollipopE: Bi-centered lollipop embedding for complex logic query on knowledge graph

S Yan, C Tian, Z Zhang, G Xu - Neural Networks, 2024 - Elsevier
Answering complex First-Order Logic (FOL) query plays a vital role in multi-hop knowledge
graph (KG) reasoning. Geometric methods have emerged as a promising category of …

Polygone: Modeling N-ary relational data as gyro-polygons in hyperbolic space

S Yan, Z Zhang, X Sun, G Xu, S Li, Q Liu… - Proceedings of the …, 2022 - ojs.aaai.org
N-ary relational knowledge base (KBs) embedding aims to map binary and beyond-binary
facts into low-dimensional vector space simultaneously. Existing approaches typically …

TOT: topology-aware optimal transport for multimodal hate detection

…, G Xu, Z Zhang, X Li, N Liu, Q Liu, S Yan - Proceedings of the …, 2023 - ojs.aaai.org
Multimodal hate detection, which aims to identify the harmful content online such as memes,
is crucial for building a wholesome internet environment. Previous work has made …

Ultralight Hierarchical Fe3O4/MoS2/rGO/Ti3C2Tx MXene Composite Aerogels for High-Efficiency Electromagnetic Wave Absorption

S Yan, S Shao, Y Tang, X Zhang, C Guo… - … Applied Materials & …, 2024 - ACS Publications
Aerogel-based composites, renowned for their three-dimensional (3D) network architecture,
are gaining increasing attention as lightweight electromagnetic (EM) wave absorbers. …

SKYPER: Legal case retrieval via skeleton-aware hypergraph embedding in the hyperbolic space

S Yan, Z Zhang - Information Sciences, 2024 - Elsevier
Legal Case Retrieval (LCR) plays a significant role in ensuring judicial justice in various
legal systems and has recently received increasing attention in Information Retrieval (IR) …

Modeling N-ary relational data as gyro-polygons with learnable gyro-centroid

S Yan, Z Zhang, G Xu, X Sun, S Li, S Wang - Knowledge-Based Systems, 2022 - Elsevier
Binary Knowledge base (KB) embedding has been broadly studied, while n-ary relational
KB embedding which aims to simultaneously map binary and beyond-binary facts into low-…

Tackling higher-order relations and heterogeneity: Dynamic heterogeneous hypergraph network for spatiotemporal activity prediction

C Tian, Z Zhang, F Yao, Z Guo, S Yan, X Sun - Neural Networks, 2023 - Elsevier
Spatiotemporal activity prediction aims to predict user activities at a particular time and location,
which is applicable in city planning, activity recommendations, and other domains. The …

Representation learning of knowledge graphs with the interaction between entity types and relations

S Wang, K Fu, X Sun, Z Zhang, S Li, S Yan - Neurocomputing, 2022 - Elsevier
Abstract Representation learning of knowledge graphs is the task of representing entities and
relations of real-world knowledge as low-dimensional vectors. Some previous works have …

Gal: Graph-induced adaptive learning for weakly supervised 3d object detection

…, N Liu, F Yao, Q He, J Li, Y Yang, S Yan… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
Weakly Supervised 3D Object Detection (WS3DOD) aims to perform 3D object detection
with little reliance on 3D labels, which greatly reduces the cost of 3D annotations. In recent …