Co-occurring keywords · papers mentioning both
Papers
Pointer Graph Networks
NeurIPS 2020
Principal Neighbourhood Aggregation for Graph Nets
NeurIPS 2020
Probabilistic Inference with Algebraic Constraints: Theoretical Limits and Practical Approximations
NeurIPS 2020
Random Walk Graph Neural Networks
NeurIPS 2020
Relative Interior Rule in Block-Coordinate Descent
CVPR 2020
Reward Propagation Using Graph Convolutional Networks
NeurIPS 2020
Scalable Belief Propagation via Relaxed Scheduling
NeurIPS 2020
Scaling up Hybrid Probabilistic Inference with Logical and Arithmetic Constraints via Message Passing
ICML 2020
Second-Order Neural Dependency Parsing with Message Passing and End-to-End Training
AACL 2020
Self-Supervised Graph Transformer on Large-Scale Molecular Data
NeurIPS 2020
Semi-Supervised Bilingual Lexicon Induction with Two-way Interaction
EMNLP 2020
Shape-Oriented Convolution Neural Network for Point Cloud Analysis
AAAI 2020
Subgraph Neural Networks
NeurIPS 2020
Submodel Decomposition for Solving Limited Memory Influence Diagrams (Student Abstract)
AAAI 2020
TeMP: Temporal Message Passing for Temporal Knowledge Graph Completion
EMNLP 2020
Towards Scale-Invariant Graph-related Problem Solving by Iterative Homogeneous GNNs
NeurIPS 2020
Weakly Supervised Visual Semantic Parsing
CVPR 2020
What graph neural networks cannot learn: depth vs width
ICLR 2020
Accuracy-Memory Tradeoffs and Phase Transitions in Belief Propagation
COLT 2019
A Convex Relaxation for Multi-Graph Matching
CVPR 2019
A Multi-Agent Communication Framework for Question-Worthy Phrase Extraction and Question Generation
AAAI 2019
Analysis of Network Lasso for Semi-Supervised Regression
AISTATS 2019
An End-To-End Network for Generating Social Relationship Graphs
CVPR 2019
A New Approach to Laplacian Solvers and Flow Problems
JMLR 2019
CAMP: Cross-Modal Adaptive Message Passing for Text-Image Retrieval
ICCV 2019