KG embedding technology becomes one hot spot in KG research in terms of its efficiency in KG completion, relationship extraction, entity classification and resolution, etc. KG embedding is to embed KG entities and relations as vectors into the continuous spaces, aims at simplifying the operation, ...
Language:Shell Sort:Most stars [NAACL(2019)] Generating Knowledge Graph Paths from Textual Definitions using Sequence-to-Sequence Models nlpknowledge-graphsequence-to-sequencesentence-embedding UpdatedApr 27, 2022 Shell oeg-upm/vkg-tutorial-eswc2019 ...
graph-level 的GNN model 通常包含两类层:the filtering layer 和 the pooling layer。其中 the filtering layer 将图的结构和节点表示作为输入,输出节点 embedding。the pooling layer 将图的结构和节点表示作为输入,产生具有新的图结构和新的节点表示的 coarsened graph。假设包含 K_p 个pooling layer 和 K_f 个...
PBG was introduced in thePyTorch-BigGraph: A Large-scale Graph Embedding Frameworkpaper, presented at theSysML conferencein 2019. Update:PBG now supports GPU training. Check out theGPU Trainingsection below! Overview PBG trains on an input graph by ingesting its list of edges, each identified by...
和convlution类似)。可以使用message passing实现，相邻node或者edge可以交换信息，并且影响彼此的embedding...
In this work, we conduct the first meta-level analysis of popular embedding methods for entity alignment, based on a statistically sound methodology. Our analysis reveals statistically significant correlations of different embedding methods with various meta-features extracted by KGs and rank them in ...
state-of-the-art predictive performance. We discuss some mapping properties of relations which should be considered in embedding, such as reflexive, one-to-many, many-to-one, and many-to-many. We note that TransE does not do well in dealing with these properties. Some complex models are ca...
Chromatin interaction studies can reveal how the genome is organized into spatially confined sub-compartments in the nucleus. However, accurately identifying sub-compartments from chromatin interaction data remains a challenge in computational biology. H
sum of the states of their neighborhood. Thirdly, reasoning is a very important research topic for high-level artificial intelligence and the reasoning process in human brain is almost based on the graph which is extracted from daily experience. The standard neural networks have shown the ability ...
Despite the emergence of experimental methods for simultaneous measurement of multiple omics modalities in single cells, most single-cell datasets include only one modality. A major obstacle in integrating omics data from multiple modalities is that diff