graph autoencoder

Context-guided Embedding Adaptation for Effective Topic Modeling in Low-Resource Regimes NeurIPS 2023 Dual Low-Rank Graph Autoencoder for Semantic and Topological Networks AAAI 2023 EGG-GAE: scalable graph neural networks for tabular data imputation AISTATS 2023 Globally Consistent Federated Graph Autoencoder for Non-IID Graphs IJCAI 2023 Handling Missing Data via Max-Entropy Regularized Graph Autoencoder AAAI 2023 Learning Representations without Compositional Assumptions ICML 2023 Pay More Attention to Relation Exploration for Knowledge Base Question Answering ACL 2023 Reconstructing Humpty Dumpty: Multi-Feature Graph Autoencoder for Open Set Action Recognition WACV 2023 Rethinking Tokenizer and Decoder in Masked Graph Modeling for Molecules NeurIPS 2023 Scene-Level Sketch-Based Image Retrieval with Minimal Pairwise Supervision AAAI 2023 Unsupervised Deep Subgraph Anomaly Detection (Extended Abstract) IJCAI 2023 CARE: Causality Reasoning for Empathetic Responses by Conditional Graph Generation EMNLP 2022 Directed Graph Auto-Encoders AAAI 2022 Escaping Feature Twist: A Variational Graph Auto-Encoder for Node Clustering IJCAI 2022 Event Schema Induction with Double Graph Autoencoders NAACL 2022 Exploiting Sentiment and Common Sense for Zero-shot Stance Detection COLING 2022 Graph Auto-Encoder via Neighborhood Wasserstein Reconstruction ICLR 2022 Unsupervised Vision-Language Parsing: Seamlessly Bridging Visual Scene Graphs With Language Structures via Dependency Relationships CVPR 2022 Variational Graph Autoencoding as Cheap Supervision for AMR Coreference Resolution ACL 2022 ZINB-Based Graph Embedding Autoencoder for Single-Cell RNA-Seq Interpretations AAAI 2022 Deep Fusion Clustering Network AAAI 2021 E(n) Equivariant Graph Neural Networks ICML 2021 HighlightMe: Detecting Highlights From Human-Centric Videos ICCV 2021 Knowledge-inspired 3D Scene Graph Prediction in Point Cloud NeurIPS 2021 Metric Learning for comparison of HMMs using Graph Neural Networks ACML 2021