output
20102026
most citedGraph Embedding on Biomedical Networks: Methods, Applications, and Evaluations

413 citations

75 papers

cs.CL2026

Semantic-Aligned Structural Abstraction for Multimodal Sentiment Analysis

Wei Chen, Junkai Li, Tongguan Wang +4

Multimodal Sentiment Analysis (MSA) aims to interpret complex human emotions by integrating natural language with non-verbal modalities. Non-verbal modalities share a structural is…

cs.CV2026★ 1 cited

City landscape in sight: A crowdsourced framework for unlocking urban-scale window view perceptions from real estate imagery

Chucai Peng, Sijie Yang, Ang Liu +3

City landscapes viewed through home windows influence quality of life, yet perceptions of actual window views at the urban scale remain understudied. This study presents an approac…

physics.flu-dyn2026★ 2 cited

Cassie-Wenzel transition induced by localized freezing after droplet impact on supercooled micro-patterned surfaces

Jun Fang, Mengqi Ye, Huafeng Liu +3

Micro-patterned surfaces have attracted significant attention in numerous applications owing to their potential to enhance hydrophobic and icephobic properties. A Cassie state of f…

cs.LG2026

Fine-grained Analysis of Stability and Generalization for Stochastic Bilevel Optimization

Xuelin Zhang, Hong Chen, Bin Gu +2

Stochastic bilevel optimization (SBO) has been integrated into many machine learning paradigms recently, including hyperparameter optimization, meta learning, and reinforcement lea…

astro-ph.CO2026★ 4 cited

The Impact of Dark Matter on Gravitational Wave Detection by Space-based Interferometers

Yuezhe Chen, Pan-Pan Wang, Bo Wang +2

The existence of dark matter is supported by multiple astrophysical observations, yet its particle nature remains unknown. The development of gravitational wave astronomy, especial…

cs.LG2025

Rethinking Graph Domain Adaptation: A Spectral Contrastive Perspective

Haoyu Zhang, Yuxuan Cheng, Wenqi Fan +2

Graph neural networks (GNNs) have achieved remarkable success in various domains, yet they often struggle with domain adaptation due to significant structural distribution shifts a…

cs.CL2025

A-IPO: Adaptive Intent-driven Preference Optimization

Wenqing Wang, Muhammad Asif Ali, Ali Shoker +4

Human preferences are diverse and dynamic, shaped by regional, cultural, and social factors. Existing alignment methods like Direct Preference Optimization (DPO) and its variants o…

cond-mat.mtrl-sci2025

Spontaneous Enhancement of Dzyaloshinskii-Moriya Interaction via Field-Cooling-Induced Interface Engineering in 2D van der Waals Ferromagnetic ternary Tellurides

Shian Xia, Yan Luo, Iftikhar Ahmed Malik +11

The emergence of two-dimensional (2D) van der Waals (vdW) ferromagnets has opened new avenues for exploring topological spin textures and their applications in next-generation spin…

cs.DB2025

FastER: On-Demand Entity Resolution in Property Graphs

Shujing Wang, Sibo Zhao, Shiqi Miao +5

Entity resolution (ER) is the problem of identifying and linking database records that refer to the same real-world entity. Traditional ER methods use batch processing, which becom…

physics.optics2025

Beijing Normal University 12-meter Interferometric kHz GW Detector Prototype: Design and Scientific Prospects

Mengyao Wang, Fan Zhang, Xinyao Guo +17

Current gravitational-wave detectors have achieved remarkable sensitivity around 100 Hz, enabling ground-breaking discoveries. Enhancing sensitivity at higher frequencies in the ki…

cs.SI2025★ 4 cited

Robust Deep Signed Graph Clustering via Weak Balance Theory

Peiyao Zhao, Xin Li, Zeyu Zhang +3

Signed graph clustering is a critical technique for discovering community structures in graphs that exhibit both positive and negative relationships. We have identified two signifi…

gr-qc2025★ 8 cited

Fundamental Physics and Cosmology with TianQin

Jun Luo, Haipeng An, Ligong Bian +33

The exploration of the surrounding world and the universe is an important theme in the legacy of humankind. The detection of gravitational waves is adding a new dimension to this g…

cs.LG2024★ 6 cited

CSGDN: Contrastive Signed Graph Diffusion Network for Predicting Crop Gene-phenotype Associations

Yiru Pan, Xingyu Ji, Jiaqi You +5

Positive and negative association prediction between gene and phenotype helps to illustrate the underlying mechanism of complex traits in organisms. The transcription and regulatio…

q-bio.GN2024★ 10 cited

wgatools: an ultrafast toolkit for manipulating whole genome alignments

Wenjie Wei, Songtao Gui, Jian Yang +3

Summary: With the rapid development of long-read sequencing technologies, the era of individual complete genomes is approaching. We have developed wgatools, a cross-platform, ultra…

cond-mat.str-el2024★ 5 cited

Angle-dependent planar thermal Hall effect by quasi-ballistic phonons in black phosphorus

Xiaokang Li, Xiaodong Guo, Zengwei Zhu +1

The origin of the phonon thermal Hall effect in insulators is a matter of ongoing debate. The large amplitude of the signal in an elemental non-magnetic solid, such as black phosph…

cs.IR2024★ 34 cited

SIGformer: Sign-aware Graph Transformer for Recommendation

Sirui Chen, Jiawei Chen, Sheng Zhou +5

In recommender systems, most graph-based methods focus on positive user feedback, while overlooking the valuable negative feedback. Integrating both positive and negative feedback…

astro-ph.HE2024★ 13 cited

The Physical Properties of Changing-look Blazars

Shi-Ju Kang, Bing Lyu, Qingwen Wu +2

Changing-look active galactic nuclei (AGNs) are a special class of AGNs that change their spectral type from type 1 to type 2 or vice versa. In recent years, a number of changing-l…

cs.LG2023

Disentangled Latent Representation Learning for Tackling the Confounding M-Bias Problem in Causal Inference

Debo Cheng, Yang Xie, Ziqi Xu +5

In causal inference, it is a fundamental task to estimate the causal effect from observational data. However, latent confounders pose major challenges in causal inference in observ…

cs.CR2023★ 3 cited

Design for Assurance: Employing Functional Verification Tools for Thwarting Hardware Trojan Threat in 3PIPs

Wei Hu, Beibei Li, Lingjuan Wu +3

Third-party intellectual property cores are essential building blocks of modern system-on-chip and integrated circuit designs. However, these design components usually come from ve…

cs.LG2023★ 3 cited

Robust and Communication-Efficient Federated Domain Adaptation via Random Features

Zhanbo Feng, Yuanjie Wang, Jie Li +5

Modern machine learning (ML) models have grown to a scale where training them on a single machine becomes impractical. As a result, there is a growing trend to leverage federated l…

cs.LG2023★ 105 cited

Comprehensive evaluation of deep and graph learning on drug-drug interactions prediction

Xuan Lin, Lichang Dai, Yafang Zhou +9

Recent advances and achievements of artificial intelligence (AI) as well as deep and graph learning models have established their usefulness in biomedical applications, especially…

cs.CL2023★ 2 cited

Generative Meta-Learning for Zero-Shot Relation Triplet Extraction

Wanli Li, Tieyun Qian, Yi Song +4

Zero-shot Relation Triplet Extraction (ZeroRTE) aims to extract relation triplets from texts containing unseen relation types. This capability benefits various downstream informati…

cs.AI2022★ 4 cited

Automatic Semantic Modeling for Structural Data Source with the Prior Knowledge from Knowledge Base

Jiakang Xu, Wolfgang Mayer, HongYu Zhang +2

A critical step in sharing semantic content online is to map the structural data source to a public domain ontology. This problem is denoted as the Relational-To-Ontology Mapping P…

cs.CV2022★ 23 cited

Rebalanced Zero-shot Learning

Zihan Ye, Guanyu Yang, Xiaobo Jin +2

Zero-shot learning (ZSL) aims to identify unseen classes with zero samples during training. Broadly speaking, present ZSL methods usually adopt class-level semantic labels and comp…