Jure Leskovec

Holographic Node Representations: Pre-training Task-Agnostic Node Embeddings ICLR 2025 Learning Production Functions for Supply Chains with Graph Neural Networks AAAI 2025 Energy-Based Diffusion Language Models for Text Generation ICLR 2025 Large Language Models are Good Relational Learners ACL 2025 TabDiff: a Mixed-type Diffusion Model for Tabular Data Generation ICLR 2025 Learning Efficient Positional Encodings with Graph Neural Networks ICLR 2025 CollabLLM: From Passive Responders to Active Collaborators ICML 2025 Zero-Shot Generalization of GNNs over Distinct Attribute Domains ICML 2025 Automated Hypothesis Validation with Agentic Sequential Falsifications ICML 2025 RelGNN: Composite Message Passing for Relational Deep Learning ICML 2025 ContextGNN: Beyond Two-Tower Recommendation Systems ICLR 2025 BioDiscoveryAgent: An AI Agent for Designing Genetic Perturbation Experiments ICLR 2025 STaRK: Benchmarking LLM Retrieval on Textual and Relational Knowledge Bases NIPS 2024 Equivariant Graph Neural Operator for Modeling 3D Dynamics ICML 2024 MLAgentBench: Evaluating Language Agents on Machine Learning Experimentation ICML 2024 From Similarity to Superiority: Channel Clustering for Time Series Forecasting NIPS 2024 Uncertainty Quantification for Forward and Inverse Problems of PDEs via Latent Global Evolution AAAI 2024 Position: Relational Deep Learning - Graph Representation Learning on Relational Databases ICML 2024 RelBench: A Benchmark for Deep Learning on Relational Databases NIPS 2024 AvaTaR: Optimizing LLM Agents for Tool Usage via Contrastive Reasoning NIPS 2024 VQGraph: Rethinking Graph Representation Space for Bridging GNNs and MLPs ICLR 2024 Context-Aware Meta-Learning ICLR 2024 Large Language Models as Analogical Reasoners ICLR 2024 GraphMETRO: Mitigating Complex Graph Distribution Shifts via Mixture of Aligned Experts NIPS 2024 Compositional Generative Inverse Design ICLR 2024 Inferring Dynamic Networks from Marginals with Iterative Proportional Fitting ICML 2024 Aligning Target-Aware Molecule Diffusion Models with Exact Energy Optimization NIPS 2024 Retrieval-Augmented Multimodal Language Modeling ICML 2023 VQA-GNN: Reasoning with Multimodal Knowledge via Graph Neural Networks for Visual Question Answering ICCV 2023 AutoTransfer: AutoML with Knowledge Transfer - An Application to Graph Neural Networks ICLR 2023 Learning Controllable Adaptive Simulation for Multi-resolution Physics ICLR 2023 Temporal Graph Benchmark for Machine Learning on Temporal Graphs NIPS 2023 Zero-shot causal learning NIPS 2023 PRODIGY: Enabling In-context Learning Over Graphs NIPS 2023 Learning Large Graph Property Prediction via Graph Segment Training NIPS 2023 Estimating Geographic Spillover Effects of COVID-19 Policies from Large-Scale Mobility Networks AAAI 2023 High dimensional, tabular deep learning with an auxiliary knowledge graph NIPS 2023 Geometric Latent Diffusion Models for 3D Molecule Generation ICML 2023 Uncertainty Quantification over Graph with Conformalized Graph Neural Networks NIPS 2023 When Do Graph Neural Networks Help with Node Classification? Investigating the Homophily Principle on Node Distinguishability NIPS 2023 Holistic Evaluation of Text-to-Image Models NIPS 2023 Open-World Semi-Supervised Learning ICLR 2022 GreaseLM: Graph REASoning Enhanced Language Models ICLR 2022 Relational Multi-Task Learning: Modeling Relations between Data and Tasks ICLR 2022 Learning to Accelerate Partial Differential Equations via Latent Global Evolution NIPS 2022 Few-shot Relational Reasoning via Connection Subgraph Pretraining NIPS 2022 ZeroC: A Neuro-Symbolic Model for Zero-shot Concept Recognition and Acquisition at Inference Time NIPS 2022 Deep Bidirectional Language-Knowledge Graph Pretraining NIPS 2022 Data-Driven Real-Time Strategic Placement of Mobile Vaccine Distribution Sites AAAI 2022 LinkBERT: Pretraining Language Models with Document Links ACL 2022 Extending the WILDS Benchmark for Unsupervised Adaptation ICLR 2022 WILDS: A Benchmark of in-the-Wild Distribution Shifts ICML 2021 LEGO: Latent Execution-Guided Reasoning for Multi-Hop Question Answering on Knowledge Graphs ICML 2021 Identity-aware Graph Neural Networks AAAI 2021 LM-Critic: Language Models for Unsupervised Grammatical Error Correction EMNLP 2021 Combiner: Full Attention Transformer with Sparse Computation Cost NIPS 2021 Neural Distance Embeddings for Biological Sequences NIPS 2021 Modeling Heterogeneous Hierarchies with Relation-specific Hyperbolic Cones NIPS 2021 Multi-hop Attention Graph Neural Networks IJCAI 2021 QA-GNN: Reasoning with Language Models and Knowledge Graphs for Question Answering NAACL 2021 Language-Agnostic Representation Learning of Source Code from Structure and Context ICLR 2021 Inductive Representation Learning in Temporal Networks via Causal Anonymous Walks ICLR 2021 Concept Learners for Few-Shot Learning ICLR 2021 GNNAutoScale: Scalable and Expressive Graph Neural Networks via Historical Embeddings ICML 2021 OCEAN: Online Task Inference for Compositional Tasks with Context Adaptation UAI 2020 Distance Encoding: Design Provably More Powerful Neural Networks for Graph Representation Learning NIPS 2020 Coresets for Robust Training of Deep Neural Networks against Noisy Labels NIPS 2020 Design Space for Graph Neural Networks NIPS 2020 Handling Missing Data with Graph Representation Learning NIPS 2020 Beta Embeddings for Multi-Hop Logical Reasoning in Knowledge Graphs NIPS 2020 Graph Information Bottleneck NIPS 2020 Open Graph Benchmark: Datasets for Machine Learning on Graphs NIPS 2020 Query2box: Reasoning over Knowledge Graphs in Vector Space Using Box Embeddings ICLR 2020 Strategies for Pre-training Graph Neural Networks ICLR 2020 Selection via Proxy: Efficient Data Selection for Deep Learning ICLR 2020 Coresets for Data-efficient Training of Machine Learning Models ICML 2020 Learning to Simulate Complex Physics with Graph Networks ICML 2020 Graph Structure of Neural Networks ICML 2020 GNNExplainer: Generating Explanations for Graph Neural Networks NIPS 2019 G2SAT: Learning to Generate SAT Formulas NIPS 2019 How Powerful are Graph Neural Networks? ICLR 2019 Position-aware Graph Neural Networks ICML 2019 SAGE: A Hybrid Geopolitical Event Forecasting System IJCAI 2019 Predicting dominance in multi-person videos IJCAI 2019 Predicting the Visual Focus of Attention in Multi-Person Discussion Videos IJCAI 2019 Inferring Multidimensional Rates of Aging from Cross-Sectional Data AISTATS 2019 Complete the Look: Scene-Based Complementary Product Recommendation CVPR 2019 Hyperbolic Graph Convolutional Neural Networks NIPS 2019 Embedding Logical Queries on Knowledge Graphs NIPS 2018 GraphRNN: Generating Realistic Graphs with Deep Auto-regressive Models ICML 2018 Hierarchical Graph Representation Learning with Differentiable Pooling NIPS 2018 Dynamic Network Model from Partial Observations NIPS 2018 Graph Convolutional Policy Network for Goal-Directed Molecular Graph Generation NIPS 2018 Toeplitz Inverse Covariance-based Clustering of Multivariate Time Series Data IJCAI 2018 Inductive Representation Learning on Large Graphs NIPS 2017 Learning the Network Structure of Heterogeneous Data via Pairwise Exponential Markov Random Fields AISTATS 2017 SnapVX: A Network-Based Convex Optimization Solver JMLR 2017 Inducing Domain-Specific Sentiment Lexicons from Unlabeled Corpora EMNLP 2016 Diachronic Word Embeddings Reveal Statistical Laws of Semantic Change ACL 2016 Cultural Shift or Linguistic Drift? Comparing Two Computational Measures of Semantic Change EMNLP 2016 Confusions over Time: An Interpretable Bayesian Model to Characterize Trends in Decision Making NIPS 2016 Modeling Information Propagation with Survival Theory ICML 2013 Nonparametric Multi-group Membership Model for Dynamic Networks NIPS 2013 A computational approach to politeness with application to social factors ACL 2013 Learning to Discover Social Circles in Ego Networks NIPS 2012 On the Convexity of Latent Social Network Inference NIPS 2010 Kronecker Graphs: An Approach to Modeling Networks JMLR 2010