Evgeny Kharlamov
16 papers · 2013–2026 · 8 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (30) π Academic Marathon Β· Half π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Bronze π£ Hot Topic Early Bird
ποΈ
Keyword Collector
(61)
π
Conference Pioneer
β
The Questioner
β‘
Prolific Year Β· Productive
π
Century Club Β· Bronze
π
Renaissance Researcher
(5)
Top co-authors
Research topics
Machine Learning
(9)
Artificial Intelligence
(6)
Knowledge & Reasoning
(6)
Representation
(6)
Optimization & Theory
(5)
Deep Learning
(4)
Core AI
(4)
Core Methods
(4)
Architectures
(3)
Learning Types Β· Machine Learning
(3)
Mathematics & Optimization
(2)
Natural Language Processing
(2)
Applications
(2)
Bayesian & Probabilistic
(2)
Learning Types Β· Deep Learning
(2)
Keywords
knowledge graph embedding
(5)
uncertainty quantification
(3)
knowledge graph
(3)
graph neural network
(3)
conformal prediction
(3)
link prediction
(2)
retrieval-augmented generation
(2)
probabilistic inference
(1)
approximate inference
(1)
benchmark evaluation
(1)
weak supervision
(1)
best-first search
(1)
knowledge graph reasoning
(1)
branch and bound
(1)
knowledge representation
(1)
question answering
(1)
graph diffusion
(1)
quadratic programming
(1)
message passing
(1)
fact verification
(1)
Papers
Approximating Probabilistic Inference in Statistical EL with Knowledge Graph Embeddings
UAI 2026
SCAIR: Schema-Conditioned Agentic Iterative Reasoning for Enterprise Knowledge Graphs
ACL 2026
What Breaks Knowledge Graph based RAG? Benchmarking and Empirical Insights into Reasoning under Incomplete Knowledge
EACL 2026
Certainty in Uncertainty: Reasoning over Uncertain Knowledge Graphs with Statistical Guarantees
EMNLP 2025
Conformalized Answer Set Prediction for Knowledge Graph Embedding
NAACL 2025
GLoRa: A Benchmark to Evaluate the Ability to Learn Long-Range Dependencies in Graphs
ICLR 2025
GQC: LLM-Based Grouped QA Consolidation for Open-Domain Fact Verification at AVeriTeC
ACL 2025
Predicate-Conditional Conformalized Answer Sets for Knowledge Graph Embeddings
ACL 2025
Predictive Multiplicity of Knowledge Graph Embeddings in Link Prediction
EMNLP 2024
Adaptive Diffusion in Graph Neural Networks
NeurIPS 2021
Keyword-Based Knowledge Graph Exploration Based on Quadratic Group Steiner Trees
IJCAI 2021
Enriching Documents with Compact, Representative, Relevant Knowledge Graphs
IJCAI 2020
Graph Random Neural Networks for Semi-Supervised Learning on Graphs
NeurIPS 2020
Neural Entity Summarization with Joint Encoding and Weak Supervision
IJCAI 2020
Controlled Query Evaluation for Datalog and OWL 2 Profile Ontologies
IJCAI 2015
Verification of Inconsistency-Aware Knowledge and Action Bases
IJCAI 2013