Tyler Derr
17 papers · 2019–2026 · 6 conferences · across top CS/AI conferences
Achievements
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π§ Keyword Pioneer π Cross-Pollinator (6) π Conference Polyglot (5) π Academic Marathon (6) π Renaissance Researcher (8)
π
Cross-Pollinator
(6)
πΊοΈ
Taxonomy Completionist
(43)
π§
Keyword Pioneer
π₯
Mega-Team
(30)
π€
Dynamic Duo
(10)
β‘
Prolific Year
(6)
ποΈ
Keyword Collector
(82)
π
Century Club
(14)
Conferences
AAAI (7)
NIPS (4)
EACL (2)
ICLR (2)
IJCAI (1)
NAACL (1)
Top co-authors
Keywords
graph neural network
(5)
large language model
(4)
retrieval-augmented generation
(2)
benchmark dataset
(2)
knowledge graph
(2)
recommender system
(2)
drug discovery
(2)
conformal prediction
(1)
algorithmic fairness
(1)
link prediction
(1)
code generation
(1)
interpretable machine learning
(1)
graph generation
(1)
prompt learning
(1)
prompt engineering
(1)
attention mechanism
(1)
adversarial robustness
(1)
learning to rank
(1)
functional mri
(1)
deep learning
(1)
Papers
A Survey on LLM-based Conversational User Simulation
EACL 2026
Graph2Video: Leveraging Video Models to Model Dynamic Graph Evolution
AAAI 2026
Ensemble Privacy Defense for Knowledge-Intensive LLMs against Membership Inference Attacks
EACL 2026
Demystifying the Power of Large Language Models in Graph Generation
NAACL 2025
Towards Trustworthy Knowledge Graph Reasoning: An Uncertainty Aware Perspective
AAAI 2025
A Large-scale Training Paradigm for Graph Generative Models
ICLR 2025
Leveraging Opposite Gender Interaction Ratio as a Path towards Fairness in Online Dating Recommendations Based on User Sexual Orientation
AAAI 2024
FT-AED: Benchmark Dataset for Early Freeway Traffic Anomalous Event Detection
NIPS 2024
WelQrate: Defining the Gold Standard in Small Molecule Drug Discovery Benchmarking
NIPS 2024
Robust Graph Neural Networks via Unbiased Aggregation
NIPS 2024
Knowledge Graph Prompting for Multi-Document Question Answering
AAAI 2024
A Topological Perspective on Demystifying GNN-Based Link Prediction Performance
ICLR 2024
NeuroGraph: Benchmarks for Graph Machine Learning in Brain Connectomics
NIPS 2023
Interpretable Chirality-Aware Graph Neural Network for Quantitative Structure Activity Relationship Modeling in Drug Discovery
AAAI 2023
Fairness and Explainability: Bridging the Gap towards Fair Model Explanations
AAAI 2023
Stock Selection via Spatiotemporal Hypergraph Attention Network: A Learning to Rank Approach
AAAI 2021
Deep Adversarial Social Recommendation
IJCAI 2019