
xiawenwen49/TAT-code: Implementation of the TAT model. - GitHub
In this paper, we propose a new problem on temporal graphs to predict the interaction order for a given node set (IOD). We develop a Temporal ATtention network (TAT) for the IOD problem. TAT utilizes fine-grained time information by encoding continuous time as fixed-length feature vectors.
GitHub - NExTplusplus/TAT-DQA: TAT-DQA: Towards Complex …
TAT-DQA is a large-scale Document VQA dataset, which is constructed by extending the TAT-QA. It aims to stimulate progress of QA research over more complex and realistic visually-rich documents with rich tabular and textual content, especially those requiring numerical reasoning. You can download our TAT-DQA dataset via TAT-DQA Dataset.
Sim- The study unveiled the complete absence of magic in ilarly to TAT, perfectly antimagic total labeling (PAT) uses distinctive weights for each vertex and edge. An instance of wheels, stars, double stars, and cycles as total graphs.
Doc2SoarGraph: Discrete Reasoning over Visually-Rich Table-Text ...
2023年5月3日 · Specifically, we propose a novel Doc2SoarGraph framework with enhanced discrete reasoning capability by harnessing the differences and correlations among different elements (e.g., quantities, dates) of the given question and document with Semantic-oriented hierarchical Graph structures.
论文阅读 Inductive Representation Learning on Temporal Graphs
本文提出了 时间图注意 (TGAT)层,以有效地聚合时间-拓扑邻域特征,并学习时间-特征之间的相互作用。 对于TGAT,本文采用自注意机制作为构建模块,并基于调和分析中的经典 Bochner定理 (又是没见过的定理QAQ)发展了一种新的函数时间编码技术。 本文提出了一种新颖的时间感知 图注意网络,用于时间图上的归纳表示学习。 采用自我注意机制来处理连续时间,提出了一种理论基础上的函数时间编码。 未来作者往 自注意力机制 的可解释性和模型的可视化进行工作. 图1 …
In this paper, we explore the concept of Super Vertex Perfectly Total Antimagic (SVPTAT) labeling in the context of graph theory, specifically focusing on complete graphs and complete bipartite graphs Km,n. We present the conditions for graphs that do not confess vertex-magic and edge-antimagic at the same time. For any n ≥ 2, the.
Doc2SoarGraph: Discrete Reasoning over Visually-Rich Table-Text ...
3 天之前 · TAT-DQA is a realistic setting for the understanding of visually-rich table-text documents, which involves answering associated questions requiring discrete reasoning. Most existing work relies on token-level semantics, falling short in the reasoning across document elements such as quantities and dates.
Totally antimagic total graphs - Academia.edu
We study super (a, d)-edge-antimagic properties of certain classes of graphs, including friendship graphs, wheels, fans, complete graphs and complete bipartite graphs. In this paper we introduce a new type of graph labeling for a graph G (V, E) called an (a, d)-vertex-antimagic total labeling.
TATAMOTORS Stock Price and Chart - TradingView — India
Tata Motors Ltd. is an automobile manufacturer with a portfolio that includes a range of cars, utility vehicles, trucks, buses, and defense vehicles. It operates through the Automotive and Others segments.
This project is the source code for Multimodal Graph Attention ... - GitHub
In this work, we propose a new Multimodal Graph Attention Network, short for MGAT, which disentangles personal interests at the granularity of modality. In particular, built upon multimodal interaction graphs, MGAT conducts information propagation within individual graphs, while leveraging the gated attention mechanism to identify varying ...
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