Co-occurring keywords · papers mentioning both
Papers
A graph similarity for deep learning
NeurIPS 2020
A Novel Higher-order Weisfeiler-Lehman Graph Convolution
ACML 2020
ASAP: Adaptive Structure Aware Pooling for Learning Hierarchical Graph Representations
AAAI 2020
Certified Robustness of Graph Convolution Networks for Graph Classification under Topological Attacks
NeurIPS 2020
Coloring Graph Neural Networks for Node Disambiguation
IJCAI 2020
ComplexDataLab at W-NUT 2020 Task 2: Detecting Informative COVID-19 Tweets by Attending over Linked Documents
EMNLP 2020
Convolutional Kernel Networks for Graph-Structured Data
ICML 2020
COPT: Coordinated Optimal Transport on Graphs
NeurIPS 2020
Fast and Deep Graph Neural Networks
AAAI 2020
FEW-SHOT LEARNING ON GRAPHS VIA SUPER-CLASSES BASED ON GRAPH SPECTRAL MEASURES
ICLR 2020
Geometrically Principled Connections in Graph Neural Networks
CVPR 2020
GraKeL: A Graph Kernel Library in Python
JMLR 2020
Graph Coarsening with Preserved Spectral Properties
AISTATS 2020
Graph Cross Networks with Vertex Infomax Pooling
NeurIPS 2020
Graph Filtration Learning
ICML 2020
Graph-Hist: Graph Classification from Latent Feature Histograms with Application to Bot Detection
AAAI 2020
Graph Homomorphism Convolution
ICML 2020
GSSNN: Graph Smoothing Splines Neural Networks
AAAI 2020
Haar Graph Pooling
ICML 2020
Improving Attention Mechanism in Graph Neural Networks via Cardinality Preservation
IJCAI 2020
Independence Promoted Graph Disentangled Networks
AAAI 2020
InfoGraph: Unsupervised and Semi-supervised Graph-Level Representation Learning via Mutual Information Maximization
ICLR 2020
Learning and Interpreting Multi-Multi-Instance Learning Networks
JMLR 2020
Memory-Based Graph Networks
ICLR 2020
Motif-Matching Based Subgraph-Level Attentional Convolutional Network for Graph Classification
AAAI 2020