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Integrating Group Homophily and Individual Personality of Topics Can Better Model Network Communities.

, , , and . ICDM, page 611-620. IEEE, (2020)

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On Positional and Structural Node Features for Graph Neural Networks on Non-attributed Graphs., , , and . CIKM, page 3898-3902. ACM, (2022)Deep Dag Learning of Effective Brain Connectivity for FMRI Analysis., , , , , , , , , and 2 other author(s). ISBI, page 1-5. IEEE, (2023)KoMen: Domain Knowledge Guided Interaction Recommendation for Emerging Scenarios., , , , , , and . WWW, page 1301-1310. ACM, (2022)Federated Node Classification over Graphs with Latent Link-type Heterogeneity., , and . WWW, page 556-566. ACM, (2023)When to Pre-Train Graph Neural Networks? From Data Generation Perspective!, , , , , , , and . KDD, page 142-153. ACM, (2023)R-Mixup: Riemannian Mixup for Biological Networks., , , , , , , , and . KDD, page 1073-1085. ACM, (2023)Data-Efficient Brain Connectome Analysis via Multi-Task Meta-Learning., , , , , , and . KDD, page 4743-4751. ACM, (2022)BrainNet: Epileptic Wave Detection from SEEG with Hierarchical Graph Diffusion Learning., , , , , and . KDD, page 2741-2751. ACM, (2022)GraphBLAST: A High-Performance Linear Algebra-based Graph Framework on the GPU., , and . ACM Trans. Math. Softw., 48 (1): 1:1-1:51 (2022)Higher-Order Clustering in Heterogeneous Information Networks., , , , and . CoRR, (2018)