Machine learning techniques, such as network embedding and graph attention networks, are employed to mine information from temporal interaction networks and identify patterns in human-object interactions. These techniques help researchers synthesize information from different sources and connect themes across various domains, ultimately leading to a deeper understanding of the nuances and complexities of human behavior and interactions with objects.