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← Authors

Marinka Zitnik

30 papers · 2012–2026 · 8 conferences · across top CS/AI conferences

Achievements

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+12 more ↓ 🌈 Renaissance Researcher (8) πŸŒ‰ Interdisciplinary Bridge 🌍 Conference Polyglot (8) πŸƒ Academic Marathon (13) πŸ—ΊοΈ Taxonomy Completionist (45)
πŸ—ΊοΈ Taxonomy Completionist (45) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird πŸ† Keyword Champion (2) 🧬 Topic Evolution πŸ‘₯ Mega-Team (71) πŸ‘‘ Triple Crown πŸ”₯ Unstoppable (8) πŸ—ƒοΈ Keyword Collector (90) πŸ“ˆ Trend Setter ⚑ Prolific Year (7) πŸ’Ž Century Club (29)

Conferences

NIPS (13) ICLR (5) ICML (5) ACL (2) JMLR (2) AISTATS (1) CVPR (1) UAI (1)

Top co-authors

Shanghua Gao (6) Theodoros Tsiligkaridis (5) Chirag Agarwal (4) Jure Leskovec (4) Himabindu Lakkaraju (3) Owen Queen (3) Huan He (3) Teddy Koker (3) Xiang Zhang (3) BlaΕΎ Zupan (2)

Keywords

graph neural network (6) time series (4) message passing (3) self-supervised learning (2) few-shot learning (2) transfer learning (2) ligand binding (2) large language model (2) model explanation (2) explainable ai (2) domain adaptation (2) link prediction (2) node feature (2) theoretical analysis (1) out-of-distribution generalization (1) flow matching (1) feature attribution (1) multimodal learning (1) multi-task learning (1) instruction tuning (1)

Papers

Autonomous Knowledge Graph Exploration with Adaptive Breadth-Depth Retrieval ACL 2026 KGARevion: An AI Agent for Knowledge-Intensive Biomedical QA ICLR 2025 PyTDC: A multimodal machine learning training, evaluation, and inference platform for biomedical foundation models ICML 2025 Multimodal Medical Code Tokenizer ICML 2025 Composable Interventions for Language Models ICLR 2025 Let's Think Outside the Box: Exploring Leap-of-Thought in Large Language Models with Creative Humor Generation CVPR 2024 Generalized Protein Pocket Generation with Prior-Informed Flow Matching NIPS 2024 Invariant Tokenization of Crystalline Materials for Language Model Enabled Generation NIPS 2024 UniTS: A Unified Multi-Task Time Series Model NIPS 2024 MoExtend: Tuning New Experts for Modality and Task Extension ACL 2024 Position: TrustLLM: Trustworthiness in Large Language Models ICML 2024 Graph Adversarial Diffusion Convolution ICML 2024 Full-Atom Protein Pocket Design via Iterative Refinement NIPS 2023 Encoding Time-Series Explanations through Self-Supervised Model Behavior Consistency NIPS 2023 GNNDelete: A General Strategy for Unlearning in Graph Neural Networks ICLR 2023 Domain Adaptation for Time Series Under Feature and Label Shifts ICML 2023 Probing GNN Explainers: A Rigorous Theoretical and Empirical Analysis of GNN Explanation Methods AISTATS 2022 Graph-Guided Network for Irregularly Sampled Multivariate Time Series ICLR 2022 OpenXAI: Towards a Transparent Evaluation of Model Explanations NIPS 2022 Self-Supervised Contrastive Pre-Training For Time Series via Time-Frequency Consistency NIPS 2022 Towards a unified framework for fair and stable graph representation learning UAI 2021 Graph Meta Learning via Local Subgraphs NIPS 2020 Strategies for Pre-training Graph Neural Networks ICLR 2020 Open Graph Benchmark: Datasets for Machine Learning on Graphs NIPS 2020 GNNGuard: Defending Graph Neural Networks against Adversarial Attacks NIPS 2020 Subgraph Neural Networks NIPS 2020 GNNExplainer: Generating Explanations for Graph Neural Networks NIPS 2019 Embedding Logical Queries on Knowledge Graphs NIPS 2018 Orange: Data Mining Toolbox in Python JMLR 2013 NIMFA : A Python Library for Nonnegative Matrix Factorization JMLR 2012