link prediction

Knowledge Graph Representation Learning using Ordinary Differential Equations EMNLP 2021 Labeling Trick: A Theory of Using Graph Neural Networks for Multi-Node Representation Learning NeurIPS 2021 Layer-Assisted Neural Topic Modeling over Document Networks IJCAI 2021 Learning Embeddings from Knowledge Graphs With Numeric Edge Attributes IJCAI 2021 Learning Faithful Representations of Causal Graphs ACL 2021 Learning from History: Modeling Temporal Knowledge Graphs with Sequential Copy-Generation Networks AAAI 2021 Learning Unknown from Correlations: Graph Neural Network for Inter-novel-protein Interaction Prediction IJCAI 2021 Link Prediction with Persistent Homology: An Interactive View ICML 2021 Low Resource Quadratic Forms for Knowledge Graph Embeddings EMNLP 2021 MagNet: A Neural Network for Directed Graphs NeurIPS 2021 Neighborhood Intervention Consistency: Measuring Confidence for Knowledge Graph Link Prediction IJCAI 2021 Neo-GNNs: Neighborhood Overlap-aware Graph Neural Networks for Link Prediction NeurIPS 2021 Neural Bellman-Ford Networks: A General Graph Neural Network Framework for Link Prediction NeurIPS 2021 Neural Latent Space Model for Dynamic Networks and Temporal Knowledge Graphs AAAI 2021 Neural-Symbolic Commonsense Reasoner with Relation Predictors ACL 2021 On Dyadic Fairness: Exploring and Mitigating Bias in Graph Connections ICLR 2021 Open-Domain Contextual Link Prediction and its Complementarity with Entailment Graphs EMNLP 2021 PairRE: Knowledge Graph Embeddings via Paired Relation Vectors ACL 2021 P-INT: A Path-based Interaction Model for Few-shot Knowledge Graph Completion EMNLP 2021 Poisoning Knowledge Graph Embeddings via Relation Inference Patterns ACL 2021 Poisson-Randomised DirBN: Large Mutation is Needed in Dirichlet Belief Networks ICML 2021 PyKEEN 1.0: A Python Library for Training and Evaluating Knowledge Graph Embeddings JMLR 2021 Relational Boosted Bandits AAAI 2021 Relation-aware Graph Attention Model with Adaptive Self-adversarial Training AAAI 2021 RelWalk - A Latent Variable Model Approach to Knowledge Graph Embedding EACL 2021