Search Results for author:
Found 5 papers, 3 papers with code
Two Cellular Resource Based Models Linking Growth and Parts Characteristics Aids the Study and Optimization of Synthetic Gene Circuits
A major challenge in synthetic genetic circuit development is the inter-dependency between heterologous gene expressions by circuits and host's growth rate.
GROWN+UP: A Graph Representation Of a Webpage Network Utilizing Pre-training
Large pre-trained neural networks are ubiquitous and critical to the success of many downstream tasks in natural language processing and computer vision.
Simple and Effective Relation-based Embedding Propagation for Knowledge Representation Learning
Notably, it averagely brings about 10% relative improvement to triplet-based embedding methods on OGBL-WikiKG2 and takes 5%-83% time to achieve comparable results as the state-of-the-art GC-OTE.
NOTE: Solution for KDD-CUP 2021 WikiKG90M-LSC
In addition to the representations, we also use various statistical probabilities among the head entities, the relations and the tail entities for the final prediction.
An Adversarial Transfer Network for Knowledge Representation Learning
Specifically, we add soft constraints on aligned entity pairs and neighbours to the existing knowledge representation learning methods.
