Jure Leskovec

40

Papers

0

Total Citations

Papers (40)

Uncertainty Quantification for Forward and Inverse Problems of PDEs via Latent Global Evolution

Inferring Dynamic Networks from Marginals with Iterative Proportional Fitting

Position: Relational Deep Learning - Graph Representation Learning on Relational Databases

MLAgentBench: Evaluating Language Agents on Machine Learning Experimentation

Equivariant Graph Neural Operator for Modeling 3D Dynamics

Complete the Look: Scene-Based Complementary Product Recommendation

VQA-GNN: Reasoning with Multimodal Knowledge via Graph Neural Networks for Visual Question Answering

Confusions over Time: An Interpretable Bayesian Model to Characterize Trends in Decision Making

Inductive Representation Learning on Large Graphs

NeurIPS 2017arXiv

Graph Convolutional Policy Network for Goal-Directed Molecular Graph Generation

Dynamic Network Model from Partial Observations

Hierarchical Graph Representation Learning with Differentiable Pooling

Embedding Logical Queries on Knowledge Graphs

Hyperbolic Graph Convolutional Neural Networks

GNNExplainer: Generating Explanations for Graph Neural Networks

G2SAT: Learning to Generate SAT Formulas

Distance Encoding: Design Provably More Powerful Neural Networks for Graph Representation Learning

Coresets for Robust Training of Deep Neural Networks against Noisy Labels

Design Space for Graph Neural Networks

Handling Missing Data with Graph Representation Learning

Beta Embeddings for Multi-Hop Logical Reasoning in Knowledge Graphs

Graph Information Bottleneck

Open Graph Benchmark: Datasets for Machine Learning on Graphs

Modeling Heterogeneous Hierarchies with Relation-specific Hyperbolic Cones

Neural Distance Embeddings for Biological Sequences

Combiner: Full Attention Transformer with Sparse Computation Cost

Learning to Accelerate Partial Differential Equations via Latent Global Evolution

Few-shot Relational Reasoning via Connection Subgraph Pretraining

ZeroC: A Neuro-Symbolic Model for Zero-shot Concept Recognition and Acquisition at Inference Time

Deep Bidirectional Language-Knowledge Graph Pretraining

Temporal Graph Benchmark for Machine Learning on Temporal Graphs

Zero-shot causal learning

PRODIGY: Enabling In-context Learning Over Graphs

Learning Large Graph Property Prediction via Graph Segment Training

High dimensional, tabular deep learning with an auxiliary knowledge graph

Uncertainty Quantification over Graph with Conformalized Graph Neural Networks

When Do Graph Neural Networks Help with Node Classification? Investigating the Homophily Principle on Node Distinguishability

Holistic Evaluation of Text-to-Image Models

GraphRNN: Generating Realistic Graphs with Deep Auto-regressive Models

Position-aware Graph Neural Networks