graph embedding

Nonparametric exponential family graph embeddings for multiple representation learning UAI 2022 Parameter-free Dynamic Graph Embedding for Link Prediction NeurIPS 2022 Pretrained Knowledge Base Embeddings for improved Sentential Relation Extraction ACL 2022 Provably expressive temporal graph networks NeurIPS 2022 Pseudo-Riemannian Graph Convolutional Networks NeurIPS 2022 Query2Particles: Knowledge Graph Reasoning with Particle Embeddings NAACL 2022 Simple Unsupervised Graph Representation Learning AAAI 2022 Specializing Static and Contextual Embeddings in the Medical Domain Using Knowledge Graphs: Let’s Keep It Simple EMNLP 2022 StATIK: Structure and Text for Inductive Knowledge Graph Completion NAACL 2022 STEM: Unsupervised STructural EMbedding for Stance Detection AAAI 2022 Syn2Vec: Synset Colexification Graphs for Lexical Semantic Similarity NAACL 2022 TempCaps: A Capsule Network-based Embedding Model for Temporal Knowledge Graph Completion ACL 2022 Text-Aware Graph Embeddings for Donation Behavior Prediction COLING 2022 ZINB-Based Graph Embedding Autoencoder for Single-Cell RNA-Seq Interpretations AAAI 2022 Adversarial Directed Graph Embedding AAAI 2021 An in-depth look at Euclidean disk embeddings for structure preserving parsing EMNLP 2021 Automatic Optimal Multi-Agent Path Finding Algorithm Selector (Student Abstract) AAAI 2021 Benchmarking Commonsense Knowledge Base Population with an Effective Evaluation Dataset EMNLP 2021 Comparing Euclidean and Hyperbolic Embeddings on the WordNet Nouns Hypernymy Graph EMNLP 2021 Computationally Tractable Riemannian Manifolds for Graph Embeddings AAAI 2021 Contrastive Laplacian Eigenmaps NeurIPS 2021 Dethroning Aristocracy in Graphs via Adversarial Perturbations (Student Abstract) AAAI 2021 Differentially Private Link Prediction with Protected Connections AAAI 2021 Directed Graph Embeddings in Pseudo-Riemannian Manifolds ICML 2021 Exploring the Limits of Few-Shot Link Prediction in Knowledge Graphs EACL 2021