link prediction

Adaptive Convolution for Multi-Relational Learning NAACL 2019 A Generative Model for Dynamic Networks with Applications AAAI 2019 A Model of Text-Enhanced Knowledge Graph Representation Learning with Collaborative Attention ACML 2019 A Non-commutative Bilinear Model for Answering Path Queries in Knowledge Graphs EMNLP 2019 An Open-World Extension to Knowledge Graph Completion Models AAAI 2019 ATP: Directed Graph Embedding with Asymmetric Transitivity Preservation AAAI 2019 Augmenting and Tuning Knowledge Graph Embeddings UAI 2019 CaRe: Open Knowledge Graph Embeddings EMNLP 2019 Community Detection and Link Prediction via Cluster-driven Low-rank Matrix Completion IJCAI 2019 Conditional Network Embeddings ICLR 2019 Connecting Language and Knowledge with Heterogeneous Representations for Neural Relation Extraction NAACL 2019 Correlated Variational Auto-Encoders ICML 2019 DRUM: End-To-End Differentiable Rule Mining On Knowledge Graphs NeurIPS 2019 Duality of Link Prediction and Entailment Graph Induction ACL 2019 DyRep: Learning Representations over Dynamic Graphs ICLR 2019 Embedding Biomedical Ontologies by Jointly Encoding Network Structure and Textual Node Descriptors ACL 2019 End to end learning and optimization on graphs NeurIPS 2019 End-to-End Structure-Aware Convolutional Networks for Knowledge Base Completion AAAI 2019 Evolutionarily Learning Multi-Aspect Interactions and Influences from Network Structure and Node Content AAAI 2019 Graphite: Iterative Generative Modeling of Graphs ICML 2019 Graph Pattern Entity Ranking Model for Knowledge Graph Completion NAACL 2019 Graph Transformer Networks NeurIPS 2019 Hyperbolic Graph Convolutional Neural Networks NeurIPS 2019 Hyperbolic Heterogeneous Information Network Embedding AAAI 2019 Investigating Robustness and Interpretability of Link Prediction via Adversarial Modifications NAACL 2019