Marinka Zitnik

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

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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🗺️ Taxonomy Completionist (54) 🏃 Academic Marathon · Half 🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Silver 🐣 Hot Topic Early Bird

👥 Mega-Team · Legion 🧬 Topic Evolution 👑 Triple Crown 🌈 Renaissance Researcher (7) 🔥 Unstoppable · Bronze ⚡ Prolific Year · Productive 💎 Century Club · Bronze 📈 Trend Setter 🗃️ Keyword Collector (133)

Venues

NeurIPS (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) Blaž Zupan (2)

Research topics

Artificial Intelligence (21) Machine Learning (16) Core AI (16) Deep Learning (14) Architectures (11) Core Methods (8) Learning Paradigms (6) Natural Language Processing (5) Application Areas (5) Learning Types · Machine Learning (5) Learning Types · Deep Learning (5) Data Science & Analytics (4) Methods (4) Models (4) Resources & Methods (4)

Keywords

graph neural network (10) message passing (4) time series (4) transfer learning (3) self-supervised learning (3) ligand binding (2) domain adaptation (2) machine unlearning (2) few-shot learning (2) model explanation (2) adversarial attack (2) large language model (2) representation learning (2) link prediction (2) language model (2) node feature (2) knowledge graph (2) explainable ai (2) knowledge editing (1) robustness (1)

Papers

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