6 skills found
tech-srl / BottleneckCode for the paper: "On the Bottleneck of Graph Neural Networks and Its Practical Implications"
cool-japan / TensorlogicTensorLogic compiles logical rules (predicates, quantifiers, implications) into tensor equations (einsum graphs) with a minimal DSL + IR, enabling neural/symbolic/probabilistic models within a unified tensor computation framework.
AstraZeneca / Biomedical Kg Topological ImbalanceCode to accompany the "Implications of Topological Imbalance for Representation Learning on Biomedical Knowledge Graphs" (Briefings in Bioinformatics, 2022)
NickLee2050 / HustProgramDesignProgram Design affiliated to General Course Design of CSE College, HUST, for students enrolled in 2018.
GemsLab / HeteRobustHow does Heterophily Impact the Robustness of Graph Neural Networks? Theoretical Connections and Practical Implications (KDD'22)
renH2 / Bridge TuneThe implementation of "Measuring Task Similarity and Its Implication in Fine-Tuning Graph Neural Networks".
