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Graph Neural Networks

4495 directly classified papers

Papers per year

Papers

M-GCN: A Multimodal Graph Convolutional Network to Integrate Functional and Structural Connectomics Data to Predict Multidimensional Phenotypic Characterizations MIDL 2021
How Framelets Enhance Graph Neural Networks ICML 2021
On Explainability of Graph Neural Networks via Subgraph Explorations ICML 2021
Optimization of Graph Neural Networks: Implicit Acceleration by Skip Connections and More Depth ICML 2021
Self-supervised Graph-level Representation Learning with Local and Global Structure ICML 2021
E(n) Equivariant Graph Neural Networks ICML 2021
Principled Simplicial Neural Networks for Trajectory Prediction ICML 2021
Improving Breadth-Wise Backpropagation in Graph Neural Networks Helps Learning Long-Range Dependencies. ICML 2021
GNNAdvisor: An Adaptive and Efficient Runtime System for GNN Acceleration on GPUs OSDI 2021
P3: Distributed Deep Graph Learning at Scale OSDI 2021
Dorylus: Affordable, Scalable, and Accurate GNN Training with Distributed CPU Servers and Serverless Threads OSDI 2021
Elastic Graph Neural Networks ICML 2021
An Aligned Subgraph Kernel Based on Discrete-Time Quantum Walk ACML 2021
Spatial Temporal Enhanced Contrastive and Pretext Learning for Skeleton-based Action Representation ACML 2021
Neural Graph Filtering for Context-aware Recommendation ACML 2021
Metric Learning for comparison of HMMs using Graph Neural Networks ACML 2021
Generative Causal Explanations for Graph Neural Networks ICML 2021
Information Obfuscation of Graph Neural Networks ICML 2021
Training Graph Neural Networks with 1000 Layers ICML 2021
Improving Molecular Graph Neural Network Explainability with Orthonormalization and Induced Sparsity ICML 2021
A Collective Learning Framework to Boost GNN Expressiveness for Node Classification ICML 2021
Let’s Agree to Degree: Comparing Graph Convolutional Networks in the Message-Passing Framework ICML 2021
GNNAutoScale: Scalable and Expressive Graph Neural Networks via Historical Embeddings ICML 2021
Graph Mixture Density Networks ICML 2021
Lipschitz normalization for self-attention layers with application to graph neural networks ICML 2021