ContextGraph: Lifelog Intelligence Framework for Contextual Subgraph Evolution
Anil Sharma, Gunturi Venkata Sai Phani Kiran, Jayesh Rajkumar Vachhani, Sourabh Vasant Gothe, Ayon Chattopadhyay, Yashwant Saini, Parameswaranath Vadackupurath Mani, Barath Raj Kandur Raja
Abstract
Lifelogging involves the continuous and comprehensive recording of a user’s daily activities, behaviors, and interactions, offering valuable insights for personalized healthcare, event retrieval, and lifestyle analysis. However, extracting meaningful patterns from lifelog data requires models to capture deeper temporal contexts beyond simple retrieval. To address this, we introduce ContextGraph, a lifelog intelligence framework that models lifelogs as a Temporal Knowledge Graph (TKG) to reason about the user’s evolving life patterns over time. ContextGraph computes Day Context Embeddings (DCE) to encode the temporal spread and social scene context of user
BibTeX
@inproceedings{aaai2026_contextgraphlife,
title = {ContextGraph: Lifelog Intelligence Framework for Contextual Subgraph Evolution},
author = {Anil Sharma and Gunturi Venkata Sai Phani Kiran and Jayesh Rajkumar Vachhani and Sourabh Vasant Gothe and Ayon Chattopadhyay and Yashwant Saini and Parameswaranath Vadackupurath Mani and Barath Raj Kandur Raja},
booktitle = {AAAI 2026},
year = {2026}
}