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The benchmark data sets of Knowledge Graphs.

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A Python library for Graph Embedding on knowledge graphs

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A collection of AWESOME things about Graph-Related LLMs.

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Source code for paper, GCKB: A novel Gated Convolutional Embedding Method for Knowledge Graphs

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links to conference publications in graph-based deep learning

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ACL 2020: A Re-evaluation of Knowledge Graph Completion Methods

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the benchmark datasets for knowledge graph embedding.

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Convert any text to a graph of knowledge. This can be used for Graph Augmented Generation or Knowledge Graph based QnA

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A Novel Self-Learning Knowledge Graph Frequency Adaptation Network for Link Prediction

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Pytroch implementation of MolGAN: An implicit generative model for small molecular graphs (https://arxiv.org/abs/1805.11973)

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Official implementation of Neural Bellman-Ford Networks (NeurIPS 2021)

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Relational Reflection Graph Convolutional Network for knowledge graph embedding

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The code for NeurIPS-2023

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Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch

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