DiffWire: Inductive Graph Rewiring via the Lovász Bound

Arnaiz-Rodríguez, Adrián; Ahmed, Begga,; Escolano, Francisco; Oliver, Núria

doi:10.48550/arxiv.2206.07369

Cited by 2 publications

(2 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The above discussion highlights the importance of amplifying information flow from distant nodes to alleviate over-squashing in graphs and the aforementioned graph rewiring is an effective to achieve the goal. There are wo main types of graph rewiring methods that are spatial graph rewiring [221,244,247,248,249,250,251,252] and spectral graph rewiring [246,253,254,255,256,257,258]. The spatial graph rewiring usually connect one node to another node within its receptive field while spectral graph rewiring often optimize some metrics that measures connectivity of graphs.…”

Section: Over-squashingmentioning

confidence: 99%

The prevalence and characteristics of metabolic syndrome according to different definitions in China: a nationwide cross-sectional study, 2012–2015

et al. 2022

View full text Add to dashboard Cite

Background Metabolic syndrome (MetS) is characterized by a cluster of signs of metabolic disturbance and has caused a huge burden on the health system. The study aims to explore the prevalence and characteristics of MetS defined by different criteria in the Chinese population. Methods Using the data of the China Hypertension Survey (CHS), a nationally representative cross-sectional study from October 2012 to December 2015, a total of 28,717 participants aged 35 years and above were included in the analysis. The MetS definitions of the International Diabetes Federation (IDF), the updated US National Cholesterol Education Program Adult Treatment Panel III (the revised ATP III), and the Joint Committee for Developing Chinese Guidelines (JCDCG) on Prevention and Treatment of Dyslipidemia in Adults were used. Multivariable logistic regression was used to identify factors associated with MetS. Results The prevalence of MetS diagnosed according to the definitions of IDF, the revised ATP III, and JCCDS was 26.4%, 32.3%, and 21.5%, respectively. The MetS prevalence in men was lower than in women by IDF definition (22.2% vs. 30.3%) and by the revised ATP III definition (29.2% vs. 35.4%), but the opposite was true by JCDCG (24.4%vs 18.5%) definition. The consistency between the three definitions for men and the revised ATP III definition and IDF definition for women was relatively good, with kappa values ranging from 0.77 to 0.89, but the consistency between the JCDCG definition and IDF definition (kappa = 0.58) and revised ATP III definition (kappa = 0.58) was poor. Multivariable logistic regression showed that although the impact and correlation intensity varied with gender and definition, area, age, education, smoking, alcohol use, and family history of cardiovascular disease were factors related to MetS. Conclusions The prevalence and characteristics of the MetS vary with the definition used in the Chinese population. The three MetS definitions are more consistent in men but relatively poor in women. On the other hand, even if estimated according to the definition of the lowest prevalence, MetS is common in China.

show abstract

Section: Over-squashingmentioning

confidence: 99%

The prevalence and characteristics of metabolic syndrome according to different definitions in China: a nationwide cross-sectional study, 2012–2015

et al. 2022

View full text Add to dashboard Cite

show abstract

“…GSL methods aim to jointly learn an optimized graph structure and its corresponding node representations [7,9,11]. Methods that change the structure of graphs to enhance performance for downstream tasks are often generically referred to as graph rewiring [2,6,10,26]. For instance, in the extensive applications of GR, Bi et al and Li et al [3,16] adopt GR methods to approach the low homophily problems in the classification of heterophily graph, Guo et al design a GR method to handle low homophily problem of heterogeneous graphs [12].…”

Section: Graph Rewiringmentioning

confidence: 99%

Challenging Low Homophily in Social Recommendation

Jiang,

Gao,

et al. 2024

Proceedings of the ACM Web Conference 2024

View full text Add to dashboard Cite

Social relations are leveraged to tackle the sparsity issue of useritem interaction data in recommendation under the assumption of social homophily. However, social recommendation paradigms predominantly focus on homophily based on user preferences. While social information can enhance recommendations, its alignment with user preferences is not guaranteed, thereby posing the risk of introducing informational redundancy. We empirically discover that social graphs in real recommendation data exhibit low preference-aware homophily, which limits the effect of social recommendation models. To comprehensively extract preference-aware homophily information latent in the social graph, we propose Social Heterophily-alleviating Rewiring (SHaRe), a data-centric framework for enhancing existing graph-based social recommendation models. We adopt Graph Rewiring technique to capture and add highly homophilic social relations, and cut low homophilic (or heterophilic) relations. To better refine the user representations from reliable social relations, we integrate a contrastive learning method into the training of SHaRe, aiming to calibrate the user representations for enhancing the result of Graph Rewiring. Experiments on real-world datasets show that the proposed framework not only exhibits enhanced performances across varying homophily ratios but also improves the performance of existing state-of-the-art (SOTA) social recommendation models. CCS CONCEPTS• Information systems → Recommender systems.

show abstract

DiffWire: Inductive Graph Rewiring via the Lovász Bound

Cited by 2 publications

References 0 publications

The prevalence and characteristics of metabolic syndrome according to different definitions in China: a nationwide cross-sectional study, 2012–2015

The prevalence and characteristics of metabolic syndrome according to different definitions in China: a nationwide cross-sectional study, 2012–2015

Challenging Low Homophily in Social Recommendation

Contact Info

Product

Resources

About