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There has been a recent surge in learning generative models for graphs. While impressive progress has been made on static graphs, work on generative modeling of temporal graphs is at a nascent stage with significant scope for improvement.…

Machine Learning · Computer Science 2022-08-26 Shubham Gupta , Sahil Manchanda , Srikanta Bedathur , Sayan Ranu

In recommender systems, most graph-based methods focus on positive user feedback, while overlooking the valuable negative feedback. Integrating both positive and negative feedback to form a signed graph can lead to a more comprehensive…

Information Retrieval · Computer Science 2024-05-07 Sirui Chen , Jiawei Chen , Sheng Zhou , Bohao Wang , Shen Han , Chanfei Su , Yuqing Yuan , Can Wang

Reinforcement learning (RL) has emerged as a promising paradigm for enhancing image editing and text-to-image (T2I) generation. However, current reward models, which act as critics during RL, often suffer from hallucinations and assign…

Computer Vision and Pattern Recognition · Computer Science 2026-03-13 Xiangyu Zhao , Peiyuan Zhang , Junming Lin , Tianhao Liang , Yuchen Duan , Shengyuan Ding , Changyao Tian , Yuhang Zang , Junchi Yan , Xue Yang

Data extraction from line-chart images is an essential component of the automated document understanding process, as line charts are a ubiquitous data visualization format. However, the amount of visual and structural variations in…

Computer Vision and Pattern Recognition · Computer Science 2023-05-04 Jay Lal , Aditya Mitkari , Mahesh Bhosale , David Doermann

Details of recent developments of the Feynman diagram analyzer DIANA (DIagram ANAlyser) are presented. Apart from some discussion about QGRAF and new plotting features, we concentrate on a new sophisticated mechanism of momenta mapping.

High Energy Physics - Phenomenology · Physics 2009-11-11 M. Tentyukov , J. Fleischer

jQuery.Feyn is a tool for drawing Feynman diagrams with Scalable Vector Graphics (SVG), written in JavaScript and runs in modern browsers. It features predefined propagator styles, vertex types, and symbols. Math formulae can be included as…

High Energy Physics - Phenomenology · Physics 2013-11-27 Zan Pan

Tabular data is a crucial form of information expression, which can organize data in a standard structure for easy information retrieval and comparison. However, in financial industry and many other fields tables are often disclosed in…

Computer Vision and Pattern Recognition · Computer Science 2020-03-18 Yiren Li , Zheng Huang , Junchi Yan , Yi Zhou , Fan Ye , Xianhui Liu

In this article, we discuss a new software tool that interacts with Grail+, a library of automata-theoretic command-line utilities. Our software, the Grail+ Visualizer, takes the textual representation of a finite automaton produced by…

Formal Languages and Automata Theory · Computer Science 2024-04-05 Alastair May , Taylor J. Smith

The famous F5 algorithm for computing \gr basis was presented by Faug\`ere in 2002. The original version of F5 is given in programming codes, so it is a bit difficult to understand. In this paper, the F5 algorithm is simplified as F5B in a…

Symbolic Computation · Computer Science 2010-12-30 Yao Sun , Dingkang Wang

Computational Fluid Dynamics (CFD) is an essential simulation tool in engineering, yet its steep learning curve and complex manual setup create significant barriers. To address these challenges, we introduce Foam-Agent, a multi-agent…

Artificial Intelligence · Computer Science 2025-10-02 Ling Yue , Nithin Somasekharan , Tingwen Zhang , Yadi Cao , Shaowu Pan

Current multi-physics Finite Element Method (FEM) solvers are complex systems in terms of both their mathematical complexity and lines of code. This paper proposes a skeleton generic FEM solver, named MetaFEM, in total about 5,000 lines of…

Numerical Analysis · Mathematics 2022-04-27 Jiaxi Xie , Kornel Ehmann , Jian Cao

We present GLM-5, a next-generation foundation model designed to transition the paradigm of vibe coding to agentic engineering. Building upon the agentic, reasoning, and coding (ARC) capabilities of its predecessor, GLM-5 adopts DSA to…

Machine Learning · Computer Science 2026-02-25 GLM-5-Team , : , Aohan Zeng , Xin Lv , Zhenyu Hou , Zhengxiao Du , Qinkai Zheng , Bin Chen , Da Yin , Chendi Ge , Chenghua Huang , Chengxing Xie , Chenzheng Zhu , Congfeng Yin , Cunxiang Wang , Gengzheng Pan , Hao Zeng , Haoke Zhang , Haoran Wang , Huilong Chen , Jiajie Zhang , Jian Jiao , Jiaqi Guo , Jingsen Wang , Jingzhao Du , Jinzhu Wu , Kedong Wang , Lei Li , Lin Fan , Lucen Zhong , Mingdao Liu , Mingming Zhao , Pengfan Du , Qian Dong , Rui Lu , Shuang-Li , Shulin Cao , Song Liu , Ting Jiang , Xiaodong Chen , Xiaohan Zhang , Xuancheng Huang , Xuezhen Dong , Yabo Xu , Yao Wei , Yifan An , Yilin Niu , Yitong Zhu , Yuanhao Wen , Yukuo Cen , Yushi Bai , Zhongpei Qiao , Zihan Wang , Zikang Wang , Zilin Zhu , Ziqiang Liu , Zixuan Li , Bojie Wang , Bosi Wen , Can Huang , Changpeng Cai , Chao Yu , Chen Li , Chengwei Hu , Chenhui Zhang , Dan Zhang , Daoyan Lin , Dayong Yang , Di Wang , Ding Ai , Erle Zhu , Fangzhou Yi , Feiyu Chen , Guohong Wen , Hailong Sun , Haisha Zhao , Haiyi Hu , Hanchen Zhang , Hanrui Liu , Hanyu Zhang , Hao Peng , Hao Tai , Haobo Zhang , He Liu , Hongwei Wang , Hongxi Yan , Hongyu Ge , Huan Liu , Huanpeng Chu , Jia'ni Zhao , Jiachen Wang , Jiajing Zhao , Jiamin Ren , Jiapeng Wang , Jiaxin Zhang , Jiayi Gui , Jiayue Zhao , Jijie Li , Jing An , Jing Li , Jingwei Yuan , Jinhua Du , Jinxin Liu , Junkai Zhi , Junwen Duan , Kaiyue Zhou , Kangjian Wei , Ke Wang , Keyun Luo , Laiqiang Zhang , Leigang Sha , Liang Xu , Lindong Wu , Lintao Ding , Lu Chen , Minghao Li , Nianyi Lin , Pan Ta , Qiang Zou , Rongjun Song , Ruiqi Yang , Shangqing Tu , Shangtong Yang , Shaoxiang Wu , Shengyan Zhang , Shijie Li , Shuang Li , Shuyi Fan , Wei Qin , Wei Tian , Weining Zhang , Wenbo Yu , Wenjie Liang , Xiang Kuang , Xiangmeng Cheng , Xiangyang Li , Xiaoquan Yan , Xiaowei Hu , Xiaoying Ling , Xing Fan , Xingye Xia , Xinyuan Zhang , Xinze Zhang , Xirui Pan , Xu Zou , Xunkai Zhang , Yadi Liu , Yandong Wu , Yanfu Li , Yidong Wang , Yifan Zhu , Yijun Tan , Yilin Zhou , Yiming Pan , Ying Zhang , Yinpei Su , Yipeng Geng , Yong Yan , Yonglin Tan , Yuean Bi , Yuhan Shen , Yuhao Yang , Yujiang Li , Yunan Liu , Yunqing Wang , Yuntao Li , Yurong Wu , Yutao Zhang , Yuxi Duan , Yuxuan Zhang , Zezhen Liu , Zhengtao Jiang , Zhenhe Yan , Zheyu Zhang , Zhixiang Wei , Zhuo Chen , Zhuoer Feng , Zijun Yao , Ziwei Chai , Ziyuan Wang , Zuzhou Zhang , Bin Xu , Minlie Huang , Hongning Wang , Juanzi Li , Yuxiao Dong , Jie Tang

The Symmetries of Feynman Integrals (SFI) method is extended for the first time to incorporate an irreducible numerator. This is done in the context of the so-called vacuum and propagator seagull diagrams, which have 3 and 2 loops,…

High Energy Physics - Theory · Physics 2021-05-12 Barak Kol , Amit Schiller , Ruth Shir

A prototype for an extensible interactive graphical term manipulation system is presented that combines pattern matching and nondeterministic evaluation to provide a convenient framework for doing tedious algebraic manipulations that so far…

Symbolic Computation · Computer Science 2007-05-23 Thomas Fischbacher

Feynmf is a LaTeX package for easy drawing of professional quality Feynman diagrams with Metafont (or Metapost). Feynmf lays out most diagrams satisfactorily from the structure of the graph without any need for manual intervention.…

High Energy Physics - Phenomenology · Physics 2009-10-28 Thorsten Ohl

The program FeynRules is a Mathematica package developed to facilitate the implementation of new physics theories into high-energy physics tools. Starting from a minimal set of information such as the model gauge symmetries, its particle…

High Energy Physics - Phenomenology · Physics 2014-06-13 Adam Alloul , Neil D. Christensen , Celine Degrande , Claude Duhr , Benjamin Fuks

We introduce optical Flow transFormer, dubbed as FlowFormer, a transformer-based neural network architecture for learning optical flow. FlowFormer tokenizes the 4D cost volume built from an image pair, encodes the cost tokens into a cost…

Computer Vision and Pattern Recognition · Computer Science 2022-09-22 Zhaoyang Huang , Xiaoyu Shi , Chao Zhang , Qiang Wang , Ka Chun Cheung , Hongwei Qin , Jifeng Dai , Hongsheng Li

This paper explores the capabilities of current transformer-based language models for program evaluation of simple functional programming languages. We introduce a new program generation mechanism that allows control over syntactic sugar…

Computation and Language · Computer Science 2021-12-10 Torsten Scholak , Jonathan Pilault , Joey Velez-Ginorio

The worldline formalism provides an alternative to Feynman diagrams in the construction of amplitudes and effective actions that shares some of the superior properties of the organization of amplitudes in string theory. In particular, it…

High Energy Physics - Theory · Physics 2021-07-06 James P. Edwards , C. Moctezuma Mata , Uwe Müller , Christian Schubert

This paper presents a new Graph Neural Network (GNN) type using feature-wise linear modulation (FiLM). Many standard GNN variants propagate information along the edges of a graph by computing "messages" based only on the representation of…

Machine Learning · Computer Science 2020-06-29 Marc Brockschmidt