← Authors

Jure Leskovec

107 papers · 2010–2025 · 13 conferences · across top CS/AI conferences

Achievements

🧭 Keyword Pioneer 🌍 Conference Polyglot (13) πŸƒ Academic Marathon (15) πŸ—ΊοΈ Taxonomy Completionist (26) 🐝 Cross-Pollinator (15) 🐣 Hot Topic Early Bird 🌈 Renaissance Researcher (6) πŸŒ‰ Interdisciplinary Bridge 🏠 Conference Loyalist (40) 🌟 Keyword Trendsetter Combo (6) 🀝 Dynamic Duo (16) πŸ‘‘ Triple Crown πŸ† Keyword Champion πŸ† Grand Slam πŸ‘₯ Mega-Team (23) πŸ”¬ Deep Specialist (24) πŸ“ˆ Trend Setter πŸ”₯ Unstoppable (10) ❓ The Questioner (3) πŸš€ Conference Pioneer πŸ’Ž Century Club (107) ⚑ Prolific Year (14) πŸ—ƒοΈ Keyword Collector (69)

Conferences

NIPS (40) ICLR (23) ICML (19) AAAI (5) IJCAI (5) ACL (4) EMNLP (3) AISTATS (2) JMLR (2) CVPR (1) ICCV (1) NAACL (1) UAI (1)

Top co-authors

Percy Liang (16) Michihiro Yasunaga (15) Hongyu Ren (14) Jiaxuan You (13) Kaidi Cao (9) Weihua Hu (8) Zhitao Ying (8) Kexin Huang (8) Stefano Ermon (7) Matthias Fey (7)

Keywords

graph neural network (24) link prediction (10) knowledge graph (9) node classification (7) representation learning (7) graph representation learning (4) message passing (4) graph generation (3) attention mechanism (3) dynamic network (3) question answering (3) large language model (3) text-to-image generation (2) graph representation (2) zero-shot learning (2) causal inference (2) graph structure (2) uncertainty quantification (2) in-context learning (2) temporal modeling (2)

Papers

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