node embedding

Breaking One-Size-Fits-All: Revisiting Out-of-Distribution Detection on Graphs Under Diverse Distribution Shifts AAAI 2026 Consensus Optimization Graph Neural Networks UAI 2026 A Centrality-based Graph Learning Framework IJCAI 2025 A Survey on Temporal Interaction Graph Representation Learning: Progress, Challenges, and Opportunities IJCAI 2025 Contrastive Auxiliary Learning with Structure Transformation for Heterogeneous Graphs AAAI 2025 Deep Multi-modal Graph Clustering via Graph Transformer Network AAAI 2025 Enhancing Future Link Prediction in Quantum Computing Semantic Networks through LLM-Initiated Node Features COLING 2025 Graph Mediator Networks Bridging Local and Global Semantics via Serial Message Passing ACML 2025 Holographic Node Representations: Pre-training Task-Agnostic Node Embeddings ICLR 2025 How Low Can You Go? Searching for the Intrinsic Dimensionality of Complex Networks using Metric Node Embeddings ICLR 2025 Learning Graph Node Embeddings by Smooth Pair Sampling AISTATS 2025 Node Identifiers: Compact, Discrete Representations for Efficient Graph Learning ICLR 2025 Rethinking Neural Multi-Objective Combinatorial Optimization via Neat Weight Embedding ICLR 2025 Scalable and Certifiable Graph Unlearning: Overcoming the Approximation Error Barrier ICLR 2025 Smoothness Really Matters: A Simple Yet Effective Approach for Unsupervised Graph Domain Adaptation AAAI 2025 STD-PLM: Understanding Both Spatial and Temporal Properties of Spatial-Temporal Data with PLM AAAI 2025 STLSP: Integrating Structure and Text with Large Language Models for Link Sign Prediction of Networks IJCAI 2025 Taming Language Models for Text-attributed Graph Learning with Decoupled Aggregation ACL 2025 WatE: A Wasserstein t-distributed Embedding Method for Information-enriched Graph Visualization AAAI 2025 Weighted Embeddings for Low-Dimensional Graph Representation AAAI 2025 Active Learning Framework for Incomplete Networks UAI 2024 An Impossibility Theorem for Node Embedding AISTATS 2024 ARC: A Generalist Graph Anomaly Detector with In-Context Learning NeurIPS 2024 A Topological Perspective on Demystifying GNN-Based Link Prediction Performance ICLR 2024 Every Node Is Different: Dynamically Fusing Self-Supervised Tasks for Attributed Graph Clustering AAAI 2024