No.3 L^{rw}=D^{-1}L 定义的叫Random walk normalized Laplacian,有读者的留言说看到了Graph Convolution与Diffusion相似之处,当然从Random walk normalized Laplacian就能看出了两者确有相似之处(其实两者只差一个相似矩阵的变换,可以参考Diffusion-Convolutional Neural Networks,以及下图) 不需要相关内容的读者可以略...
Anti-money laundering (AML) is vital to maintaining financial markets, social stability, and political authority. At present, many studies model the AML ta
文本事件抽取GCN《 Jointly multiple events extractionvia attention-based graph information aggregation》/《. Graph convolutional networks with argument-aware pooling for event detection》https://github.com/lx865712528/JMEE 文本文本生成Sentence LSTM《A graph-to-sequence mdel for amr-to-text generation》 ...
[arXiv 2023] Decoupling Graph Neural Network with Contrastive Learning for Fraud Detection [paper] [arXiv 2023] Data-Centric Learning from Unlabeled Graphs with Diffusion Model [paper] [TPAMI 2023] Unsupervised Learning of Graph Matching With Mixture of Modes Via Discrepancy Minimization [paper] [ar...
Overall, graph generative models have been extensively applied for molecular materials and stayed up to date with recent developments in the field of graph generation. However, these remain under-explored for crystalline materials, mainly due to graph representation challenges162. While finding such a ...
GraphMETRO: Mitigating Complex Graph Distribution Shifts via Mixture of Aligned Experts Unifying Generation and Prediction on Graphs with Latent Graph Diffusion Uncovering the Redundancy in Graph Self-supervised Learning Models Revisiting Score Propagation in Graph Out-of-Distribution Detection Probabilistic Gra...
《ViewCrafter: Taming Video Diffusion Models for High-fidelity Novel View Synthesis》(2024) GitHub: github.com/Drexubery/ViewCrafter《OLMoE: Open Mixture-of-Experts Language Models》(2024) GitHub: github.com/allenai/OLMoE《MemLong:MemLong: Memory-Augmented Retrieval for Long Text Modeling》(2024...
The model is calibrated and validated against tensile experiments of samples that are additively manufactured out of a mixture of acrylic photopolymer and thermoplastic elastomer using a Connex polyjet printer (Fig. 2c). The details of the material model can be found in “Methods”, while its ...
Multi-Label Zero-Shot Learning with Structured Knowledge Graphs. Chung-Wei Lee, Wei Fang, Chih-Kuan Yeh, Yu-Chiang Frank Wang. CVPR 2018. paper Dynamic Graph Generation Network: Generating Relational Knowledge from Diagrams. Daesik Kim, Youngjoon Yoo, Jeesoo Kim, Sangkuk Lee, Nojun Kwak. CV...
: Diffusion Improves Graph Learning (NeurIPS 2019) [Example] Expand to see all implemented GNN operators and utilities... GraphSizeNorm from Dwivedi et al.: Benchmarking Graph Neural Networks (CoRR 2020) PairNorm from Zhao and Akoglu: PairNorm: Tackling Oversmoothing in GNNs (ICLR 2020) Mean...