WEB&GRAPH 2026 Workshop Report
Abstract
The first edition of the Workshop on Web & Graphs, Responsible Intelligence, and Social Media (WEB&GRAPH 2026) was successfully held on February 26, 2026, in Boise, Idaho, as part of the WSDM 2026 conference. The workshop brought together approximately 25 researchers and practitioners from web search, data mining, artificial intelligence, and social sciences to discuss algorithmic, theoretical, and methodological advances for dynamic, reliable, and human-aligned graph analytics. The program featured a keynote by Prof. Evangelos Papalexakis on tensor and graph methods, presentations of 10 accepted papers covering topics from graph fairness and misinformation detection to LLM-graph integration and heterogeneous graph learning, a panel discussion on graph algorithms and web intelligence, and a best paper award ceremony. This report summarizes the workshop objectives, activities, key outcomes, and future research directions identified by the community.
Fields of Study & Subjects
Advanced Graph Neural Networks
Graph Theory and Algorithms
Complex Network Analysis Techniques
Publication details
- Journal / source
- Proceedings of the Nineteenth ACM International Conference on Web Search and Data Mining
- Publisher
- ACM
- Pages
- 39–43
- Publication date
- 22 February 2026