AI research paper on knowledge graph embeddings accepted at IEEE ICDM 2026

By PulseAugur Editorial · [1 sources] · 2026-08-18 11:59

A research paper titled "ATLAS: Adaptive Attribute-Aware Post-Hoc Alignment of Knowledge Graph Embeddings" has been accepted for presentation at the IEEE International Conference on Data Mining (ICDM) 2026. The conference is scheduled to take place from November 12–15 in Shenyang, China. The paper's authors include Duygu Ekinci, N'Dah Jean Kouagou, Mohamed Ahmed Sherif, and Axel Ngonga. AI

IMPACT This research contributes to the field of knowledge graph embeddings, potentially improving AI systems that rely on structured knowledge.

RANK_REASON The cluster reports on the acceptance of an academic research paper for a conference. [lever_c_demoted from research: ic=1 ai=1.0]

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

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Newsworthiness bucket: Tool; The cluster reports on the acceptance of an academic research paper for a conference. [lever_c_demoted from research: ic=1 ai=1.0]
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Mastodon — mastodon.social TIER_1 English(EN) · diceresearch · 2026-08-18 11:59

✨ Paper accepted at IEEE ICDM 2026 — next stop: Shenyang! 🙌 "ATLAS: Adaptive Attribute-Aware Post-Hoc Alignment of Knowledge Graph Embeddings" by Duygu Ekinci,

✨ Paper accepted at IEEE ICDM 2026 — next stop: Shenyang! 🙌 "ATLAS: Adaptive Attribute-Aware Post-Hoc Alignment of Knowledge Graph Embeddings" by Duygu Ekinci, N'Dah Jean Kouagou, Mohamed Ahmed Sherif, and Axel Ngonga has been accepted at IEEE ICDM 2026 (Nov 12–15, Shenyang, Chin…