Graph Neural Networks

Continuous Graph Neural Networks ICML 2020 Conv-MPN: Convolutional Message Passing Neural Network for Structured Outdoor Architecture Reconstruction CVPR 2020 Cross-Domain Detection via Graph-Induced Prototype Alignment CVPR 2020 Cross-View Correspondence Reasoning Based on Bipartite Graph Convolutional Network for Mammogram Mass Detection CVPR 2020 Cut-Based Graph Learning Networks to Discover Compositional Structure of Sequential Video Data AAAI 2020 Deep Attentive Learning for Stock Movement Prediction From Social Media Text and Company Correlations EMNLP 2020 Deep Iterative Surface Normal Estimation CVPR 2020 Deep Learning for Community Detection: Progress, Challenges and Opportunities IJCAI 2020 Detecting Emerging Symptoms of COVID-19 using Context-based Twitter Embeddings EMNLP 2020 DGE: Deep Generative Network Embedding Based on Commonality and Individuality AAAI 2020 Dirichlet Graph Variational Autoencoder NeurIPS 2020 Distance Encoding: Design Provably More Powerful Neural Networks for Graph Representation Learning NeurIPS 2020 Distinguish Confusing Law Articles for Legal Judgment Prediction ACL 2020 Effective Decoding in Graph Auto-Encoder Using Triadic Closure AAAI 2020 Efficient Context and Schema Fusion Networks for Multi-Domain Dialogue State Tracking EMNLP 2020 ElixirNet: Relation-Aware Network Architecture Adaptation for Medical Lesion Detection AAAI 2020 Embedding Words in Non-Vector Space with Unsupervised Graph Learning EMNLP 2020 ERLKG: Entity Representation Learning and Knowledge Graph based association analysis of COVID-19 through mining of unstructured biomedical corpora EMNLP 2020 EvolveGCN: Evolving Graph Convolutional Networks for Dynamic Graphs AAAI 2020 Exploring and Evaluating Attributes, Values, and Structures for Entity Alignment EMNLP 2020 Exponential Family Graph Embeddings AAAI 2020 Fairness in Network Representation by Latent Structural Heterogeneity in Observational Data AAAI 2020 Geometrically Principled Connections in Graph Neural Networks CVPR 2020 GNNGuard: Defending Graph Neural Networks against Adversarial Attacks NeurIPS 2020 Going Deep: Graph Convolutional Ladder-Shape Networks AAAI 2020