← Architectures
Deep Learning › Architectures ›

Graph Neural Networks

4495 directly classified papers

Papers per year

Papers

Very Important Person Localization in Unconstrained Conditions: A New Benchmark AAAI 2021
Dual Adversarial Graph Neural Networks for Multi-label Cross-modal Retrieval AAAI 2021
Similarity Reasoning and Filtration for Image-Text Matching AAAI 2021
GTA: Graph Truncated Attention for Retrosynthesis AAAI 2021
Stock Selection via Spatiotemporal Hypergraph Attention Network: A Learning to Rank Approach AAAI 2021
SDGNN: Learning Node Representation for Signed Directed Networks AAAI 2021
Hierarchical Graph Convolution Network for Traffic Forecasting AAAI 2021
Graph Neural Network to Dilute Outliers for Refactoring Monolith Application AAAI 2021
Stage-wise Fine-tuning for Graph-to-Text Generation IJCNLP 2021
Generating Landmark Navigation Instructions from Maps as a Graph-to-Text Problem IJCNLP 2021
CLaC-np at SemEval-2021 Task 8: Dependency DGCNN IJCNLP 2021
Neural Enhanced Belief Propagation on Factor Graphs AISTATS 2021
Hyperbolic graph embedding with enhanced semi-implicit variational inference. AISTATS 2021
Causal Inference under Networked Interference and Intervention Policy Enhancement AISTATS 2021
CopulaGNN: Towards Integrating Representational and Correlational Roles of Graphs in Graph Neural Networks ICLR 2021
Multi-Modal Reasoning Graph for Scene-Text Based Fine-Grained Image Classification and Retrieval WACV 2021
Triangle-Net: Towards Robustness in Point Cloud Learning WACV 2021
Pykg2vec: A Python Library for Knowledge Graph Embedding JMLR 2021
DIG: A Turnkey Library for Diving into Graph Deep Learning Research JMLR 2021
TestRank: Bringing Order into Unlabeled Test Instances for Deep Learning Tasks NIPS 2021
Learning Graph Cellular Automata NIPS 2021
Dirichlet Energy Constrained Learning for Deep Graph Neural Networks NIPS 2021
NeuroMLR: Robust & Reliable Route Recommendation on Road Networks NIPS 2021
Not All Low-Pass Filters are Robust in Graph Convolutional Networks NIPS 2021
Do Transformers Really Perform Badly for Graph Representation? NIPS 2021