← Architectures
Deep Learning › Architectures ›

Graph Neural Networks

4495 directly classified papers

Papers per year

Papers

Rethinking Kernel Methods for Node Representation Learning on Graphs NIPS 2019
Exact Combinatorial Optimization with Graph Convolutional Neural Networks NIPS 2019
GOT: An Optimal Transport framework for Graph comparison NIPS 2019
Graph Normalizing Flows NIPS 2019
Stability of Graph Scattering Transforms NIPS 2019
Guided Similarity Separation for Image Retrieval NIPS 2019
End to end learning and optimization on graphs NIPS 2019
Exploiting Local and Global Structure for Point Cloud Semantic Segmentation with Contextual Point Representations NIPS 2019
Learning by Abstraction: The Neural State Machine NIPS 2019
Adaptive GNN for Image Analysis and Editing NIPS 2019
Social-BiGAT: Multimodal Trajectory Forecasting using Bicycle-GAN and Graph Attention Networks NIPS 2019
Compiler Auto-Vectorization with Imitation Learning NIPS 2019
Certifiable Robustness to Graph Perturbations NIPS 2019
DFNets: Spectral CNNs for Graphs with Feedback-Looped Filters NIPS 2019
A Vectorized Relational Graph Convolutional Network for Multi-Relational Network Alignment IJCAI 2019
Neighborhood-Aware Attentional Representation for Multilingual Knowledge Graphs IJCAI 2019
HyperGCN: A New Method For Training Graph Convolutional Networks on Hypergraphs NIPS 2019
Recurrent Space-time Graph Neural Networks NIPS 2019
Break the Ceiling: Stronger Multi-scale Deep Graph Convolutional Networks NIPS 2019
Neural Diffusion Distance for Image Segmentation NIPS 2019
ATTENet: Detecting and Explaining Suspicious Tax Evasion Groups IJCAI 2019
A Similarity Measurement Method Based on Graph Kernel for Disconnected Graphs IJCAI 2019
Graph-based Neural Sentence Ordering IJCAI 2019
A Degeneracy Framework for Scalable Graph Autoencoders IJCAI 2019
Learning metrics for persistence-based summaries and applications for graph classification NIPS 2019