Bias-Aware Training and Evaluation of Link Prediction Algorithms in Network Biology

Revealing “Rich Node” Bias in Link Prediction Algorithms and Countermeasures — An Interpretation of “Bias-aware Training and Evaluation of Link Prediction Algorithms in Network Biology” 1. Academic Background and Motivation Over the past decade, network biology has played an increasingly important role in uncovering associations and functions of bi...

Temporal Aggregation and Propagation Graph Neural Networks for Dynamic Representation

Temporal Aggregation and Propagation Graph Neural Networks (TAP-GNN) Background Introduction A temporal graph is a graph structure with dynamic interactions between nodes over continuous time, where the topology evolves over time. Such dynamic changes enable nodes to exhibit varying preferences at different times, which is critical for capturing us...

Knowledge Graph Completion by Jointly Learning Structural Features and Soft Logical Rules

In recent years, Knowledge Graphs (KG) have been widely used in many artificial intelligence tasks. Knowledge graphs represent entities and their relationships using triplets consisting of a head entity, a relation, and a tail entity. For example, the triplet (h = Paris, r = capital_of, t = France) represents a common-sense fact about the real worl...