Profile page
Dr. rer. nat. Arnab Sharma
Senior Researchers
Research Interest
My research interests include but are not limited to,
- Robustness in graph machine learning
- Explainable machine learning
- Inductive knowledge graph embedding
- Security in graph machine learning
Projects
Publications
When Confidence Turns Against You: Exploiting Link Prediction Scores for Data Poisoning
The 25th International Conference on Knowledge Engineering and Knowledge Management, 2026, #inproceedings
Rethinking Explanations: Formalizing Contrast in Description Logics
Explainable Artificial Intelligence - Fourth World Conference, xAI 2026, Proceedings, 2026, #inproceedings
Tokenizing the Graph: Attentive Byte-pair Encoding for Knowledge Graph Embeddings
SEMANTiCS 2026, 2026, #inproceedings
Parameterized Fuzzy Negation for Complex Query Answering over Knowledge Graphs
SEMANTiCS 2026, 2026, #inproceedings
Evaluating Noisy Optimization in Finetuning LMs for Neural Ranking
NLDB 2026, 2026, #inproceedings
Mind The Margins: Probing Link Prediction via Perturbations
35th ACM International Conference on Information and Knowledge Management (CIKM 2026), 2026, #inproceedings
Link Prediction Under Non-targeted Attacks: Do Soft Labels Always Help?
The Semantic Web - ISWC 2025 - 24th International Semantic Web Conference, Nara, Japan, November 2-6, 2025, Proceedings, Part I, 2025, #inproceedings
Parameter Averaging in Link Prediction
Proceedings of the Knowledge Capture Conference 2025 (K-CAP '25), 2025, #inproceedings
Inference over Unseen Entities, Relations and Literals on Knowledge Graphs
ECAI Workshops, 2024, #inproceedings
When Confidence Turns Against You: Exploiting Link Prediction Scores for Data Poisoning
The 25th International Conference on Knowledge Engineering and Knowledge Management, 2026, #inproceedings
Rethinking Explanations: Formalizing Contrast in Description Logics
Explainable Artificial Intelligence - Fourth World Conference, xAI 2026, Proceedings, 2026, #inproceedings
Tokenizing the Graph: Attentive Byte-pair Encoding for Knowledge Graph Embeddings
SEMANTiCS 2026, 2026, #inproceedings
Parameterized Fuzzy Negation for Complex Query Answering over Knowledge Graphs
SEMANTiCS 2026, 2026, #inproceedings
Evaluating Noisy Optimization in Finetuning LMs for Neural Ranking
NLDB 2026, 2026, #inproceedings