graph neural network

Universal-RCNN: Universal Object Detector via Transferable Graph R-CNN AAAI 2020 Unsupervised Joint k-node Graph Representations with Compositional Energy-Based Models NeurIPS 2020 Using Speaker-Aligned Graph Memory Block in Multimodally Attentive Emotion Recognition Network Interspeech 2020 Variational Inference for Graph Convolutional Networks in the Absence of Graph Data and Adversarial Settings NeurIPS 2020 VectorNet: Encoding HD Maps and Agent Dynamics From Vectorized Representation CVPR 2020 Visual-Semantic Matching by Exploring High-Order Attention and Distraction CVPR 2020 Weakly-Supervised Modeling of Contextualized Event Embedding for Discourse Relations EMNLP 2020 Weakly Supervised Visual Semantic Parsing CVPR 2020 Weisfeiler and Leman go sparse: Towards scalable higher-order graph embeddings NeurIPS 2020 What Can Neural Networks Reason About? ICLR 2020 What graph neural networks cannot learn: depth vs width ICLR 2020 When2com: Multi-Agent Perception via Communication Graph Grouping CVPR 2020 When Do GNNs Work: Understanding and Improving Neighborhood Aggregation IJCAI 2020 Where Does It Exist: Spatio-Temporal Video Grounding for Multi-Form Sentences CVPR 2020 Word-level Deep Sign Language Recognition from Video: A New Large-scale Dataset and Methods Comparison WACV 2020 ZeroShotCeres: Zero-Shot Relation Extraction from Semi-Structured Webpages ACL 2020 3D Point Cloud Generative Adversarial Network Based on Tree Structured Graph Convolutions ICCV 2019 A2N: Attending to Neighbors for Knowledge Graph Inference ACL 2019 A Behavioral Approach to Visual Navigation with Graph Localization Networks RSS 2019 ACM: Adaptive Cross-Modal Graph Convolutional Neural Networks for RGB-D Scene Recognition AAAI 2019 Action Assessment by Joint Relation Graphs ICCV 2019 AdaGraph: Unifying Predictive and Continuous Domain Adaptation Through Graphs CVPR 2019 Adaptive GNN for Image Analysis and Editing NeurIPS 2019 A Deep Neural Information Fusion Architecture for Textual Network Embeddings EMNLP 2019 Adversarial Attacks on Graph Neural Networks via Meta Learning ICLR 2019