node embedding

GraphCroc: Cross-Correlation Autoencoder for Graph Structural Reconstruction NeurIPS 2024 Graph Edit Distance with General Costs Using Neural Set Divergence NeurIPS 2024 Homophily-Related: Adaptive Hybrid Graph Filter for Multi-View Graph Clustering AAAI 2024 Identifying Guarantors of War Veterans Using Robust-SEAL: A Case of the Korean War AAAI 2024 Intruding with Words: Towards Understanding Graph Injection Attacks at the Text Level NeurIPS 2024 Iteratively Refined Early Interaction Alignment for Subgraph Matching based Graph Retrieval NeurIPS 2024 Kernel Readout for Graph Neural Networks IJCAI 2024 Label Attentive Distillation for GNN-Based Graph Classification AAAI 2024 Learning Representations for Hierarchies with Minimal Support NeurIPS 2024 On the Impact of Feature Heterophily on Link Prediction with Graph Neural Networks NeurIPS 2024 Pure Message Passing Can Estimate Common Neighbor for Link Prediction NeurIPS 2024 Sterling: Synergistic Representation Learning on Bipartite Graphs AAAI 2024 Subgraph Pooling: Tackling Negative Transfer on Graphs IJCAI 2024 Towards Dynamic Message Passing on Graphs NeurIPS 2024 A Provable Framework of Learning Graph Embeddings via Summarization AAAI 2023 Better Together: Enhancing Generative Knowledge Graph Completion with Language Models and Neighborhood Information EMNLP 2023 Coupled Point Process-based Sequence Modeling for Privacy-preserving Network Alignment IJCAI 2023 Cross-links Matter for Link Prediction: Rethinking the Debiased GNN from a Data Perspective NeurIPS 2023 DBGDGM: Dynamic Brain Graph Deep Generative Model MIDL 2023 Deep Graph Structural Infomax AAAI 2023 Dynamic Group Link Prediction in Continuous-Time Interaction Network IJCAI 2023 Fair Attribute Completion on Graph with Missing Attributes ICLR 2023 Fisher Information Embedding for Node and Graph Learning ICML 2023 From Hypergraph Energy Functions to Hypergraph Neural Networks ICML 2023 Generative Graph Dictionary Learning ICML 2023