World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
44
Citations
8290
World Ranking
7563
National Ranking
372

Overview

Gerard de Melo is affiliated with the Hasso Plattner Institute in Germany, where their research primarily focuses on various aspects of Computer Science, with a notable concentration on Artificial Intelligence, Computer Vision and Pattern Recognition, and Information Systems. Their work encompasses related subfields including Management Science and Operations Research as well as Finance.

The scientist's publications cover a broad range of topics in the field, emphasizing areas such as:

  • Topic Modeling
  • Natural Language Processing Techniques
  • Multimodal Machine Learning Applications
  • Advanced Graph Neural Networks
  • Sentiment Analysis and Opinion Mining
  • Domain Adaptation and Few-Shot Learning
  • Advanced Text Analysis Techniques

Gerard de Melo has contributed to both journal articles and conference proceedings, with a frequent presence in publication venues including:

  • arXiv (Cornell University)
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • Language Resources and Evaluation
  • ACM SIGWEB Newsletter
  • Leibniz-Zentrum für Informatik (Schloss Dagstuhl)

Recent notable papers featuring related research topics include:

  • "Knowledge Graphs" (2021), published in ACM Computing Surveys
  • "Knowledge Graphs" (2021), published in Synthesis Lectures on Data, Semantics and Knowledge
  • "Path Language Modeling over Knowledge Graphs for Explainable Recommendation" (2022), Proceedings of the ACM Web Conference 2022
  • "Large Language Models and Knowledge Graphs: Opportunities and Challenges" (2023), Leibniz-Zentrum für Informatik (Schloss Dagstuhl)
  • "Asymmetrical Hierarchical Networks with Attentive Interactions for Interpretable Review-Based Recommendation" (2020), Proceedings of the AAAI Conference on Artificial Intelligence

Gerard de Melo has collaborated extensively with several co-authors, including:

  • Michael Cochez
  • Zuohui Fu
  • Eva Blomqvist
  • Claudia d'Amato
  • Claudio Gutiérrez

In addition to journal and conference publications, they have contributed to academic book literature, notably publishing "Knowledge Graphs" with Morgan & Claypool Publishers in 2022.

Best Publications

  • Knowledge Graphs

    Aidan Hogan;Eva Blomqvist;Michael Cochez;Claudia d'Amato

  • Relation Classification via Multi-Level Attention CNNs

    Linlin Wang;Zhu Cao;Gerard de Melo;Zhiyuan Liu

  • Reinforcement Knowledge Graph Reasoning for Explainable Recommendation

    Yikun Xian;Zuohui Fu;S. Muthukrishnan;Gerard de Melo

  • YAGO2: exploring and querying world knowledge in time, space, context, and many languages

    Johannes Hoffart;Fabian M. Suchanek;Klaus Berberich;Edwin Lewis-Kelham

  • Attention Clusters: Purely Attention Based Local Feature Integration for Video Classification

    Xiang Long;Chuang Gan;Gerard de Melo;Jiajun Wu

  • Fairness-Aware Explainable Recommendation over Knowledge Graphs

    Zuohui Fu;Yikun Xian;Ruoyuan Gao;Jieyu Zhao

  • Towards a universal wordnet by learning from combined evidence

    Gerard de Melo;Gerhard Weikum

  • WebChild: harvesting and organizing commonsense knowledge from the web

    Niket Tandon;Gerard de Melo;Fabian Suchanek;Gerhard Weikum

  • Knowledge Graphs

    Aidan Hogan;Eva Blomqvist;Michael Cochez;Claudia D’amato

  • PACRR: A Position-Aware Neural IR Model for Relevance Matching

    Kai Hui;Andrew Yates;Klaus Berberich;Gerard de Melo

  • Co-PACRR: A Context-Aware Neural IR Model for Ad-hoc Retrieval

    Kai Hui;Andrew Yates;Klaus Berberich;Gerard de Melo

  • MENTA: inducing multilingual taxonomies from wikipedia

    Gerard de Melo;Gerhard Weikum

  • Multimodal Keyless Attention Fusion for Video Classification

    Xiang Long;Chuang Gan;Gerard de Melo;Xiao Liu

  • OpenWordNet-PT: An Open Brazilian Wordnet for Reasoning

    Valeria de Paiva;Alexandre Rademaker;Gerard de Melo

  • LINDA: distributed web-of-data-scale entity matching

    Christoph Böhm;Gerard de Melo;Felix Naumann;Gerhard Weikum

  • Path Language Modeling over Knowledge Graphsfor Explainable Recommendation

    Unknown

  • WebChild 2.0 : Fine-Grained Commonsense Knowledge Distillation

    Niket Tandon;Gerard de Melo;Gerhard Weikum

  • Video Captioning with Multi-Faceted Attention

    Xiang Long;Chuang Gan;Gerard de Melo

  • Commonsense Knowledge in Machine Intelligence

    Niket Tandon;Aparna S. Varde;Gerard de Melo

  • Concepts not alone: exploring pairwise relationships for zero-shot video activity recognition

    Chuang Gan;Ming Lin;Yi Yang;Gerard de Melo

  • CAFE: Coarse-to-Fine Neural Symbolic Reasoning for Explainable Recommendation

    Yikun Xian;Zuohui Fu;Handong Zhao;Yingqiang Ge

Frequent Co-Authors

Gerhard Weikum
Gerhard Weikum Max Planck Institute for Informatics
Yongfeng Zhang
Yongfeng Zhang Rutgers, The State University of New Jersey
Chuang Gan
Chuang Gan University of Massachusetts Amherst
Ahmed Elgammal
Ahmed Elgammal Rutgers, The State University of New Jersey
Baoquan Chen
Baoquan Chen Peking University
Zenglin Xu
Zenglin Xu Harbin Institute of Technology
Geoff Sutcliffe
Geoff Sutcliffe University of Miami
Xiao Liu
Xiao Liu Baidu (China)
Jie Zhang
Jie Zhang Nanyang Technological University
Matthew Stone
Matthew Stone Rutgers, The State University of New Jersey

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