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Large Language Models (LLMs) have transformed web-based\u00a0information systems, yet they suffer from critical limitations, most notably\u00a0hallucination, where models generate fluent but factually incorrect\u00a0content, as well as outdated parametric knowledge, lack of traceability,\u00a0and poor structured reasoning. These issues pose serious risks\u00a0for knowledge-intensive web applications. Graph-based approaches offer\u00a0principled solutions: knowledge graphs provide verifiable, structured representations of world knowledge; Graph Neural Networks (GNNs) enable relational reasoning over connected data; and Graph Retrieval-Augmented Generation (GraphRAG) grounds LLM outputs in structured\u00a0evidence, directly mitigating hallucination and improving factual\u00a0consistency. Explainability methods further ensure that graph-based predictions\u00a0are interpretable and auditable. Despite their complementary\u00a0nature, these research threads remain largely addressed in isolation.<\/p>\n
WeKGR 2026 bridges this gap by providing a dedicated forum at WISE\u00a02026 to advance graph-based approaches for building trustworthy, grounded,\u00a0and explainable web information systems.<\/p>\n
[\/vc_column_text][\/vc_column][\/vc_row][vc_row][vc_column][vc_tta_accordion][vc_tta_section title=”Topics of Interest (But not limited to)” tab_id=”1669785090648-608172ee-d777″][vc_column_text]<\/p>\n
[\/vc_column_text][\/vc_tta_section][vc_tta_section title=”Paper Submission Guidelines” tab_id=”1778952201377-56c357f8-bbb9″][vc_column_text]All submissions for this special track must be written in English and conform to the Springer LNCS proceedings format with the following page limits: 15 pages for papers including references. Submitted papers will undergo a \u201cdouble-blind\u201d review process, coordinated by the Program Committee. To ensure anonymity of authorship, authors must ensure that authors\u2019 names, affiliations, funding, and any other identifying information of authorship do not appear on the title page or elsewhere in the paper. Authors must provide the complete and final list of authors at the submission stage. No addition, removal, or change in the order of authors is allowed after submission.<\/p>\n
Please use one of the following templates for the LNCS (Lecture Notes in Computer Science) format: https:\/\/www.springer.com\/gp\/computer-science\/lncs\/conference-proceedings-guidelines<\/a><\/span>[\/vc_column_text][\/vc_tta_section][vc_tta_section title=”Publication” tab_id=”1699374020537-eb707e08-cc9a”][vc_column_text]<\/p>\n [\/vc_column_text][\/vc_tta_section][vc_tta_section title=”Submissions” tab_id=”1706778996934-13a2f3b1-4aa1″][vc_column_text]All paper submissions for this special track will be via Microsoft CMT<\/strong><\/a> (under \u201cSpecial track on Knowledge Graphs and RAG on the Web”).<\/p>\n The Microsoft CMT service was used for managing the peer-reviewing process for this conference. This service was provided for free by Microsoft and they bore all expenses, including costs for Azure cloud services as well as for software development and support.[\/vc_column_text][\/vc_tta_section][vc_tta_section title=”Important Dates” tab_id=”1669785352215-8e3485c4-ec7d”][vc_column_text]<\/p>\n *All deadlines are 23:59 Anywhere on Earth time.[\/vc_column_text][\/vc_tta_section][vc_tta_section title=”Organizers” tab_id=”1778952435278-66ec2e42-1a43″][vc_column_text]<\/p>\n\n\n
\n \u00a0\u00a0Paper Submission<\/b><\/td>\n June 17, 2026<\/span><\/td>\n<\/tr>\n \n \u00a0\u00a0Acceptance Notification<\/b><\/td>\n July 20, 2026<\/td>\n<\/tr>\n \n \u00a0\u00a0Camera Ready<\/b><\/td>\n August 25, 2026<\/td>\n<\/tr>\n \n <\/td>\n <\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n