network embedding

Causal Learning Meet Covariates: Empowering Lightweight and Effective Nationwide Air Quality Forecasting IJCAI 2025 Loss Landscape of Shallow ReLU-like Neural Networks: Stationary Points, Saddle Escape, and Network Embedding ICLR 2025 Signed Graph Autoencoder for Explainable and Polarization-Aware Network Embeddings AISTATS 2025 Towards Author-informed NLP: Mind the Social Bias EMNLP 2025 Unsupervised Attributed Dynamic Network Embedding with Stability Guarantees UAI 2025 Valid Bootstraps for Network Embeddings with Applications to Network Visualisation UAI 2025 A Survey on Network Alignment: Approaches, Applications and Future Directions IJCAI 2024 Generalized Taxonomy-Guided Graph Neural Networks IJCAI 2024 Link Prediction in Multilayer Networks via Cross-Network Embedding AAAI 2024 Node2ket: Efficient High-Dimensional Network Embedding in Quantum Hilbert Space ICLR 2024 Time to Cite: Modeling Citation Networks using the Dynamic Impact Single-Event Embedding Model AISTATS 2024 Asymptotics of Network Embeddings Learned via Subsampling JMLR 2023 Barlow Graph Auto-Encoder for Unsupervised Network Embedding AISTATS 2023 Edgeformers: Graph-Empowered Transformers for Representation Learning on Textual-Edge Networks ICLR 2023 Reconciling Competing Sampling Strategies of Network Embedding NeurIPS 2023 Asymptotics of ℓ_2 Regularized Network Embeddings NeurIPS 2022 Learning and Evaluating Character Representations in Novels ACL 2022 Machine Learning on Graphs: A Model and Comprehensive Taxonomy JMLR 2022 Multi-Vector Embedding on Networks with Taxonomies IJCAI 2022 Orthogonal Multi-Manifold Enriching of Directed Networks AISTATS 2022 Role-based Multiplex Network Embedding ICML 2022 STEM: Unsupervised STructural EMbedding for Stance Detection AAAI 2022 TwiBot-22: Towards Graph-Based Twitter Bot Detection NeurIPS 2022 Using Embeddings for Causal Estimation of Peer Influence in Social Networks NeurIPS 2022 DeepWalking Backwards: From Embeddings Back to Graphs ICML 2021