Co-occurring keywords · papers mentioning both
Papers
Stacked Spatio-Temporal Graph Convolutional Networks for Action Segmentation
WACV 2020
Strategies for Pre-training Graph Neural Networks
ICLR 2020
Strongly Incremental Constituency Parsing with Graph Neural Networks
NeurIPS 2020
Structure-Based Drug-Drug Interaction Detection via Expressive Graph Convolutional Networks and Deep Sets (Student Abstract)
AAAI 2020
Structure Learning for Headline Generation
AAAI 2020
Subgraph Neural Networks
NeurIPS 2020
Summarize before Aggregate: A Global-to-local Heterogeneous Graph Inference Network for Conversational Emotion Recognition
COLING 2020
SuperGlue: Learning Feature Matching With Graph Neural Networks
CVPR 2020
Taxonomy Construction of Unseen Domains via Graph-based Cross-Domain Knowledge Transfer
ACL 2020
Temporal Positive-unlabeled Learning for Biomedical Hypothesis Generation via Risk Estimation
NeurIPS 2020
TeMP: Temporal Message Passing for Temporal Knowledge Graph Completion
EMNLP 2020
Tensor Graph Convolutional Networks for Text Classification
AAAI 2020
Text Graph Transformer for Document Classification
EMNLP 2020
The Dots Have Their Values: Exploiting the Node-Edge Connections in Graph-based Neural Models for Document-level Relation Extraction
EMNLP 2020
The Emergence of Adversarial Communication in Multi-Agent Reinforcement Learning
CoRL 2020
The Garden of Forking Paths: Towards Multi-Future Trajectory Prediction
CVPR 2020
The Graph-based Mutual Attentive Network for Automatic Diagnosis
IJCAI 2020
The Logical Expressiveness of Graph Neural Networks
ICLR 2020
Towards a Unified Framework for Visual Compatibility Prediction
WACV 2020
Towards Deeper Graph Neural Networks with Differentiable Group Normalization
NeurIPS 2020
Towards More Practical Adversarial Attacks on Graph Neural Networks
NeurIPS 2020
Towards Scale-Invariant Graph-related Problem Solving by Iterative Homogeneous GNNs
NeurIPS 2020
Transductive Relation-Propagation Network for Few-shot Learning
IJCAI 2020
Transferable Graph Optimizers for ML Compilers
NeurIPS 2020
Uncertainty Aware Semi-Supervised Learning on Graph Data
NeurIPS 2020