Marinka Zitnik

papers

4,765

total citations

papers (13)

Open Graph Benchmark: Datasets for Machine Learning on Graphs

NEURIPS 2020arXiv

3,322

citations

Self-Supervised Contrastive Pre-Training For Time Series via Time-Frequency Consistency

NEURIPS 2022arXiv

421

citations

Let's Think Outside the Box: Exploring Leap-of-Thought in Large Language Models with Creative Humor Generation

CVPR 2024arXiv

citations

Encoding Time-Series Explanations through Self-Supervised Model Behavior Consistency

NEURIPS 2023arXiv

citations

Full-Atom Protein Pocket Design via Iterative Refinement

NEURIPS 2023arXiv

citations

Composable Interventions for Language Models

ICLR 2025arXiv

citations

Graph Adversarial Diffusion Convolution

ICML 2024arXiv

citations

Position: TrustLLM: Trustworthiness in Large Language Models

ICML 2024

citations

Evolutionary Reasoning Does Not Arise in Standard Usage of Protein Language Models

NEURIPS 2025

citations

Marinka Zitnik

papers (13)

Open Graph Benchmark: Datasets for Machine Learning on Graphs

Self-Supervised Contrastive Pre-Training For Time Series via Time-Frequency Consistency

GNNGuard: Defending Graph Neural Networks against Adversarial Attacks

Graph Meta Learning via Local Subgraphs

OpenXAI: Towards a Transparent Evaluation of Model Explanations

Subgraph Neural Networks

Let's Think Outside the Box: Exploring Leap-of-Thought in Large Language Models with Creative Humor Generation

Encoding Time-Series Explanations through Self-Supervised Model Behavior Consistency

Full-Atom Protein Pocket Design via Iterative Refinement

Composable Interventions for Language Models

Graph Adversarial Diffusion Convolution

Position: TrustLLM: Trustworthiness in Large Language Models

Evolutionary Reasoning Does Not Arise in Standard Usage of Protein Language Models

papers (13)

Open Graph Benchmark: Datasets for Machine Learning on Graphs

Self-Supervised Contrastive Pre-Training For Time Series via Time-Frequency Consistency

GNNGuard: Defending Graph Neural Networks against Adversarial Attacks

Graph Meta Learning via Local Subgraphs

OpenXAI: Towards a Transparent Evaluation of Model Explanations

Subgraph Neural Networks

Let's Think Outside the Box: Exploring Leap-of-Thought in Large Language Models with Creative Humor Generation

Encoding Time-Series Explanations through Self-Supervised Model Behavior Consistency

Full-Atom Protein Pocket Design via Iterative Refinement

Composable Interventions for Language Models

Graph Adversarial Diffusion Convolution

Position: TrustLLM: Trustworthiness in Large Language Models

Evolutionary Reasoning Does Not Arise in Standard Usage of Protein Language Models