Web&Graph workshop at WSDM 2026

The call for papers for the Web&Graph workshop at WSDM 2026 is out now!

Check out the website here: link

The submission site is here: link

The Web&Graph aims to bring together 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 workshop will focus on the algorithmic foundations and the applied aspects of graph reasoning for evolving networks, misinformation detection, provenance tracking, and human–AI collaboration.

We particularly welcome works that provide innovative and interpretable solutions or address real-world challenges by combining graphs, AI, and web algorithms. The expected, but not exhaustive, contributions are:

We particularly welcome works that provide innovative and interpretable solutions or address real-world challenges by combining graphs, AI, and web algorithms.

🧮 Theoretical Topics

• Design and analysis of graph algorithms for web and social networks
• Optimization and approximation on large and dynamic graphs
• Diffusion modeling and algorithmic fairness
• Graph compression, sparsification, and structure-aware pruning
• Robust, explainable, and provable graph representations

⚙️ Technical and Applied Topics

• Graph neural networks and graph transformers for web data
• Graph-based trust, credibility, and misinformation detection
• Influence propagation and provenance tracking for social domains
• Integration of LLMs with structured graph representations
• Human-in-the-loop knowledge-graph curation and correction
• Deep learning on dynamic and streaming graph data
• Social network analytics and algorithmic transparency
• Optimization frameworks for scalable and interpretable graph learning