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Graph Neural Networks

4,495 papers

Papers per year

Papers

BernNet: Learning Arbitrary Graph Spectral Filters via Bernstein Approximation NIPS 2021
Topic Modeling Revisited: A Document Graph-based Neural Network Perspective NIPS 2021
Graph Adversarial Self-Supervised Learning NIPS 2021
Automorphic Equivalence-aware Graph Neural Network NIPS 2021
Directional Message Passing on Molecular Graphs via Synthetic Coordinates NIPS 2021
Neural Algorithmic Reasoners are Implicit Planners NIPS 2021
Nested Graph Neural Networks NIPS 2021
Motif-based Graph Self-Supervised Learning for Molecular Property Prediction NIPS 2021
Adversarial Graph Augmentation to Improve Graph Contrastive Learning NIPS 2021
Deep Molecular Representation Learning via Fusing Physical and Chemical Information NIPS 2021
Graph Differentiable Architecture Search with Structure Learning NIPS 2021
MOMA: Multi-Object Multi-Actor Activity Parsing NIPS 2021
Graph Posterior Network: Bayesian Predictive Uncertainty for Node Classification NIPS 2021
Towards Multi-Grained Explainability for Graph Neural Networks NIPS 2021
Knowledge-inspired 3D Scene Graph Prediction in Point Cloud NIPS 2021
EIGNN: Efficient Infinite-Depth Graph Neural Networks NIPS 2021
Federated Graph Classification over Non-IID Graphs NIPS 2021
Metropolis-Hastings Data Augmentation for Graph Neural Networks NIPS 2021
Towards Open-World Feature Extrapolation: An Inductive Graph Learning Approach NIPS 2021
Decoupling the Depth and Scope of Graph Neural Networks NIPS 2021
Predicting Molecular Conformation via Dynamic Graph Score Matching NIPS 2021
Node Dependent Local Smoothing for Scalable Graph Learning NIPS 2021
A Convergence Analysis of Gradient Descent on Graph Neural Networks NIPS 2021
Object DGCNN: 3D Object Detection using Dynamic Graphs NIPS 2021
TestRank: Bringing Order into Unlabeled Test Instances for Deep Learning Tasks NIPS 2021