{"total":22,"rows":[{"id":"2212.05767","title":"A Survey of Knowledge Graph Reasoning on Graph Types: Static, Dynamic, and Multimodal","created":"2022-12-12","cited_by_count":106,"area":null},{"id":"2202.05786","title":"Multi-Modal Knowledge Graph Construction and Application: A Survey","created":"2022-02-11","cited_by_count":74,"area":null},{"id":"2406.17605","title":"NativE: Multi-modal Knowledge Graph Completion in the Wild","created":"2024-03-28","cited_by_count":23,"area":null},{"id":"2305.18256","title":"Representation Learning on Hyper-Relational and Numeric Knowledge Graphs with Transformers","created":"2023-05-29","cited_by_count":16,"area":null},{"id":"2306.01399","title":"Knowledge Graph Reasoning over Entities and Numerical Values","created":"2023-06-02","cited_by_count":11,"area":null},{"id":"2105.08683","title":"Learning Embeddings from Knowledge Graphs With Numeric Edge Attributes","created":"2021-05-18","cited_by_count":10,"area":null},{"id":"2108.05774","title":"HopfE: Knowledge Graph Representation Learning using Inverse Hopf Fibrations","created":"2021-08-12","cited_by_count":9,"area":null},{"id":"2302.02601","title":"Learning Representations of Bi-level Knowledge Graphs for Reasoning beyond Link Prediction","created":"2023-02-06","cited_by_count":9,"area":null},{"id":"2203.13965","title":"Augmenting Knowledge Graphs for Better Link Prediction","created":"2022-03-26","cited_by_count":7,"area":null},{"id":"2201.08580","title":"Trustworthy Knowledge Graph Completion Based on Multi-sourced Noisy Data","created":"2022-01-21","cited_by_count":4,"area":null},{"id":"2401.00608","title":"Reviving the Context: Camera Trap Species Classification as Link Prediction on Multimodal Knowledge Graphs","created":"2023-12-31","cited_by_count":4,"area":null},{"id":"2312.07589","title":"ConvD: Attention Enhanced Dynamic Convolutional Embeddings for Knowledge Graph Completion","created":"2023-12-11","cited_by_count":2,"area":null},{"id":"2407.18241","title":"Numerical Literals in Link Prediction: A Critical Examination of Models and Datasets","created":"2024-07-25","cited_by_count":2,"area":null},{"id":"2504.00852","title":"ReaLitE: Enrichment of Relation Embeddings in Knowledge Graphs using Numeric Literals","created":"2025-04-01","cited_by_count":2,"area":null},{"id":"2111.00974","title":"Transductive Data Augmentation with Relational Path Rule Mining for Knowledge Graph Embedding","created":"2021-11-01","cited_by_count":1,"area":null},{"id":"2401.07812","title":"Wikidata as a seed for Web Extraction","created":"2024-01-15","cited_by_count":1,"area":null},{"id":"2602.14795","title":"Return of the Schema: Building Complete Datasets for Machine Learning and Reasoning on Knowledge Graphs","created":"2026-02-16","cited_by_count":1,"area":null},{"id":"2109.04881","title":"ProcK: Machine Learning for Knowledge-Intensive Processes","created":"2021-09-10","cited_by_count":0,"area":null},{"id":"2309.00306","title":"On the Aggregation of Rules for Knowledge Graph Completion","created":"2023-09-01","cited_by_count":0,"area":null},{"id":"2510.00894","title":"FusionAdapter for Few-Shot Relation Learning in Multimodal Knowledge Graphs","created":"2025-10-01","cited_by_count":0,"area":null},{"id":"2608.26729","title":"Neural Regression with Embeddings for Numerical Attribute Prediction in Knowledge Graphs","created":"2026-08-27","cited_by_count":0,"area":null},{"id":"2610.16106","title":"Silence and Noise: Resolving Suppression and Overvaluation in Multimodal Entity Alignment","created":"2026-10-12","cited_by_count":0,"area":null}],"next_cursor":null}