{"total":24,"rows":[{"id":"2211.03536","title":"Knowledge Graph Embedding: A Survey from the Perspective of Representation Spaces","created":"2022-11-07","cited_by_count":41,"area":null},{"id":"2107.10234","title":"Bridging the Gap between Spatial and Spectral Domains: A Unified Framework for Graph Neural Networks","created":"2021-07-21","cited_by_count":19,"area":null},{"id":"2110.14450","title":"Rot-Pro: Modeling Transitivity by Projection in Knowledge Graph Embedding","created":"2021-10-27","cited_by_count":15,"area":null},{"id":"2103.14930","title":"Hyperbolic Geometry is Not Necessary: Lightweight Euclidean-Based Models for Low-Dimensional Knowledge Graph Embeddings","created":"2021-03-27","cited_by_count":10,"area":null},{"id":"2301.05601","title":"Sem@$K$: Is my knowledge graph embedding model semantic-aware?","created":"2023-01-13","cited_by_count":10,"area":null},{"id":"2309.12501","title":"Knowledge Graph Embedding: An Overview","created":"2023-09-21","cited_by_count":10,"area":null},{"id":"2202.07130","title":"STaR: Knowledge Graph Embedding by Scaling, Translation and Rotation","created":"2022-02-15","cited_by_count":6,"area":null},{"id":"2502.11269","title":"Unlocking the Potential of Generative AI through Neuro-Symbolic Architectures: Benefits and Limitations","created":"2025-02-16","cited_by_count":6,"area":null},{"id":"2510.10693","title":"High-Dimensional Learning Dynamics of Quantized Models with Straight-Through Estimator","created":"2025-10-12","cited_by_count":4,"area":null},{"id":"2304.00378","title":"Knowledge Graph Embedding with 3D Compound Geometric Transformations","created":"2023-04-01","cited_by_count":3,"area":null},{"id":"2305.10563","title":"HaSa: Hardness and Structure-Aware Contrastive Knowledge Graph Embedding","created":"2023-05-17","cited_by_count":3,"area":null},{"id":"2402.03583","title":"MQuinE: a cure for \"Z-paradox\" in knowledge graph embedding models","created":"2024-02-05","cited_by_count":3,"area":null},{"id":"2204.13704","title":"Hyperbolic Hierarchical Knowledge Graph Embeddings for Link Prediction in Low Dimensions","created":"2022-04-28","cited_by_count":2,"area":null},{"id":"2208.02743","title":"Integrating Knowledge Graph embedding and pretrained Language Models in Hypercomplex Spaces","created":"2022-08-04","cited_by_count":2,"area":null},{"id":"2410.14733","title":"Knowledge Graph Embeddings: A Comprehensive Survey on Capturing Relation Properties","created":"2024-10-16","cited_by_count":2,"area":null},{"id":"2505.18113","title":"Beyond Discreteness: Sample Complexity Analysis of Straight-Through Estimator for 1-bit Quantization","created":"2025-05-23","cited_by_count":2,"area":null},{"id":"2302.04088","title":"FFHR: Fully and Flexible Hyperbolic Representation for Knowledge Graph Completion","created":"2023-02-07","cited_by_count":1,"area":null},{"id":"2306.12640","title":"On Addressing the Limitations of Graph Neural Networks","created":"2023-06-22","cited_by_count":1,"area":null},{"id":"2409.19977","title":"Knowledge Graph Embedding by Normalizing Flows","created":"2024-09-30","cited_by_count":1,"area":null},{"id":"2506.05626","title":"Two-dimensional Taxonomy for N-ary Knowledge Representation Learning Methods","created":"2025-06-05","cited_by_count":1,"area":null},{"id":"2204.07328","title":"Knowledgebra: An Algebraic Learning Framework for Knowledge Graph","created":"2022-04-15","cited_by_count":0,"area":null},{"id":"2206.04801","title":"Learning Attention-based Representations from Multiple Patterns for Relation Prediction in Knowledge Graphs","created":"2022-06-07","cited_by_count":0,"area":null},{"id":"2309.13834","title":"Prior Bilinear Based Models for Knowledge Graph Completion","created":"2023-09-25","cited_by_count":0,"area":null},{"id":"2407.02779","title":"Croppable Knowledge Graph Embedding","created":"2024-07-03","cited_by_count":0,"area":null}],"next_cursor":null}