[Web&Graph@WSDM2026] Deadline extended - C4P - Workshop on Web&Graph

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Andrea D'Angelo

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Nov 14, 2025, 9:49:02 AM (9 days ago) Nov 14

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*** Apologies for cross-postings ***

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Call For Papers

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🚨 The submission deadline is now November 27, 2025 🚨

Workshop on Web & Graphs, Responsible Intelligence, and Social Media (WEB&GRAPH 2026) to be held as part of the 19th ACM International Conference on Web Search and Data Mining (WSDM 2026).

Workshop proceedings will be published as workshop papers in a Companion Proceedings Volume.

Date: February 26th, 2026 - Boise, Idaho (USA)

Web: https://aiimlab.org/events/WSDM_2026_WEB_and_GRAPH_2026_Workshop_on_Web_and_Graphs_Responsible_Intelligence_and_Social_Media.html

Submission Website:

https://easychair.org/my/conference?conf=webgraph2026

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Important Dates

Paper Submissions: November 13, -> November 27, 2025
Notifications: December 18, 2025
Workshop: February 26, 2026

All deadlines are 11:59 pm AoE

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Workshop Aims and Scope

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The Web&Graph Workshop 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.

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Workshop Keywords

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graph algorithms, graph mining, graph neural networks, misinformation detection, web data, large language models, explainable AI, social networks, dynamic graphs

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Workshop Topics

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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:

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

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Submission and Publication

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We invite authors to submit unpublished, original papers written in English. Submitted papers should not have been previously published or accepted for publication in substantially similar form in any peer-reviewed venue, such as journals, conferences, or workshops. Manuscripts must be submitted in PDF according to the new ACM format published in ACM guidelines (use documentclass [sigconf,anonymous,review]{acmart}).

We will consider two different submission types:

Full papers (up to 9 pages + unlimited references) should clearly describe the state of the art and state the proposal's contribution in the application domain, even if presenting preliminary results. In particular, research papers should describe the methodology in detail, experiments should be repeatable, and a comparison with the existing approaches in the literature should be made.
Short and position papers (up to 4 pages all included) should introduce new points of view on the workshop topics or summarize a group's experience in the field.

Submissions should not exceed the indicated pages, including any diagrams and references. All submissions will undergo a double-blind review process and be reviewed by at least three reviewers based on relevance to the workshop, novelty/originality, significance, technical quality and correctness, quality and clarity of presentation, quality of references, and reproducibility. Submitted papers will be rejected without review if they are not correctly anonymized, do not comply with the template, or do not follow the above guidelines.

Generative AI Usage Policy. Generative AI models, including Chat-GPT, BARD, LLaMA, or similar LLMs, do not satisfy the criteria for authorship of papers accepted in the workshop. If authors use an LLM in any part of the paper-writing process, they assume full responsibility for all content, including checking for plagiarism and correctness of all text.

Proceedings. This year, the WSDM organization will publish a Companion Proceedings Volume that includes the workshop papers.

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Registration and Presentation Policy

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Submitted manuscripts must adhere to the ACM authorship policy. In particular, (i) each author must be the creator or originator of an idea in the work; (ii) each author must make substantial contributions to the work; and (iii) each author must be accountable for the work that was done and its presentation in a publication. The policy was recently updated to govern the use of generative AI tools in authoring papers.

At least one author of each accepted paper must register for the conference (either 3-day or 5-day). A paper fee may be required. Please refer to the Registration policy of WSDM2026 for details.

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Workshop Chairs

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Matteo Spezialetti

University of L’Aquila, L’Aquila (Italy)

Email: matteo.sp...@univaq.it

Andrea D’Angelo

University of L’Aquila, L’Aquila (Italy)

Email: andrea....@graduate.univaq.it

Francesca Ciccarelli

University of L’Aquila, L’Aquila (Italy)

Email: francesca....@graduate.univaq.it