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Graph Neural Networks

4,522 papers

Papers per year

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Papers

Zero-Shot Video Object Segmentation via Attentive Graph Neural Networks ICCV 2019
MeteorNet: Deep Learning on Dynamic 3D Point Cloud Sequences ICCV 2019
DeepGCNs: Can GCNs Go As Deep As CNNs? ICCV 2019
Learning Trajectory Dependencies for Human Motion Prediction ICCV 2019
Language-Conditioned Graph Networks for Relational Reasoning ICCV 2019
Mixture-Kernel Graph Attention Network for Situation Recognition ICCV 2019
MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing ICML 2019
Graph Element Networks: adaptive, structured computation and memory ICML 2019
Adversarial Attacks on Node Embeddings via Graph Poisoning ICML 2019
Compositional Fairness Constraints for Graph Embeddings ICML 2019
Learning Discrete Structures for Graph Neural Networks ICML 2019
Graph U-Nets ICML 2019
Geometric Scattering for Graph Data Analysis ICML 2019
Graphite: Iterative Generative Modeling of Graphs ICML 2019
Self-Attention Graph Pooling ICML 2019
Graph Matching Networks for Learning the Similarity of Graph Structured Objects ICML 2019
Disentangled Graph Convolutional Networks ICML 2019
Stochastic Blockmodels meet Graph Neural Networks ICML 2019
Relational Pooling for Graph Representations ICML 2019
GMNN: Graph Markov Neural Networks ICML 2019
A Persistent Weisfeiler-Lehman Procedure for Graph Classification ICML 2019
GEOMetrics: Exploiting Geometric Structure for Graph-Encoded Objects ICML 2019
Optimal Transport for structured data with application on graphs ICML 2019
Distributed, Egocentric Representations of Graphs for Detecting Critical Structures ICML 2019
Graph Convolutional Gaussian Processes ICML 2019