Галерея 3330948

Галерея 3330948

Sign in

Register

A Representation Learning Framework for Property Graphs
Published: 25 July 2019 Publication History
KDD '19: Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining
KDD '19
Paper Acceptance Rate 110 of 1,200 submissions, 9% Overall Acceptance Rate 1,133 of 8,635 submissions, 13%

Sponsor:

sigkdd

sigmod

Long Beach ,

CA ,

USA

Nitin Agarwal, Huan Liu, Sudheendra Murthy, Arunabha Sen, and Xufei Wang. A social identity approach to identify familiar strangers in a social network. In ICWSM, 2009. Google Scholar Amr Ahmed, Nino Shervashidze, Shravan M. Narayanamurthy, Vanja Josifovski, and Alexander J. Smola. Distributed large-scale natural graph factorization. In WWW, pages 37--48, 2013. Google Scholar Digital Library Eytan Bakshy, Itamar Rosenn, Cameron Marlow, and Lada A. Adamic. The role of social networks in information diffusion. In WWW, pages 519--528, 2012. Google Scholar Digital Library Mauro Barone and Michele Coscia. Birds of A feather scam together: Trustworthiness homophily in A business network. Social Networks, 54. Google Scholar Yoshua Bengio, Aaron C. Courville, and Pascal Vincent. Representation learning: A review and new perspectives. PAMI, 35:1798--1828, 2013. Google Scholar Digital Library Smriti Bhagat, Graham Cormode, and S. Muthukrishnan. Node classification in social networks. In Social network datanalytics, pages 115--148. 2011. Google Scholar Cross Ref Michael M. Bronstein, Joan Bruna, Yann LeCun, Arthur Szlam, and Pierre Vandergheynst. Geometric deep learning: Going beyond euclidean data. IEEE Signal Processing Magazine, 34. Google Scholar Shaosheng Cao, Wei Lu, and Qiongkai Xu. Grarep: Learning graph representations with global structural information. In CIKM, pages 891--900, 2015. Google Scholar Digital Library Shaosheng Cao, Wei Lu, and Qiongkai Xu. Deep neural networks for learning graph representations. In AAAI, pages 1145--1152, 2016. Google Scholar Digital Library Haochen Chen, Bryan Perozzi, Yifan Hu, and Steven Skiena. HARP: hierarchical representation learning for networks. In AAAI, pages 2127--2134, 2018. Google Scholar Jianfei Chen, Jun Zhu, and Le Song. Stochastic training of graph convolutional networks with variance reduction. In ICML, pages 941--949, 2018. Google Scholar Martin Ester, Hans-Peter Kriegel, Jörg Sander, and Xiaowei Xu. A density-based algorithm for discovering clusters in large spatial databases with noise. In SIGKDD, pages 226--231, 1996. Google Scholar Digital Library Santo Fortunato. Community detection in graphs. Physics Reports, 486:75--174, 2010. Google Scholar Thomas Gärtner, Tamás Horváth, and Stefan Wrobel. Graph kernels. In Encyclopedia of Machine Learning and Data Mining, pages 579--581. 2017. Google Scholar Cross Ref Palash Goyal and Emilio Ferrara. Graph embedding techniques, applications, and performance: A survey. KBS, 151:78--94, 2018. Google Scholar Cross Ref Aditya Grover and Jure Leskovec. node2vec: Scalable feature learning for networks. In SIGKDD, pages 855--864, 2016. Google Scholar Digital Library William L. Hamilton, Rex Ying, and Jure Leskovec. Representation learning on graphs: Methods and applications. IEEE Data Eng. Bull., 40:52--74, 2017. Google Scholar William L. Hamilton, Zhitao Ying, and Jure Leskovec. Inductive representation learning on large graphs. In NIPS, pages 1024--1034, 2017. Google Scholar Digital Library Keith Henderson, Brian Gallagher, Tina Eliassi-Rad, Hanghang Tong, Sugato Basu, Leman Akoglu, Danai Koutra, Christos Faloutsos, and Lei Li. Rolx: Structural role extraction & mining in large graphs. In SIGKDD, pages 1231--1239, 2012. Google Scholar Digital Library Geoffrey E. Hinton and Ruslan R. Salakhutdinov. Reducing the dimensionality of data with neural networks. Science, 313:504--507, 2006. Google Scholar Diederik P. Kingma and Jimmy Ba. Adam: A method for stochastic optimization. In ICLR, 2015. Google Scholar Thomas N. Kipf and Max Welling. Semi-supervised classification with graph convolutional networks. CoRR, 2016. Google Scholar Thomas N. Kipf and Max Welling. Variational graph auto-encoders. CoRR, 2016. Google Scholar David Liben-Nowell and Jon M. Kleinberg. The link-prediction problem for social networks. JASIST, 58:1019--1031, 2007. Google Scholar Digital Library James MacQueen. Some methods for classification and analysis of multivariate observations. In Berkeley Symposium on Mathematical Statistics and Probability, volume 1, pages 281--297, 1967. Google Scholar Tomas Mikolov, Ilya Sutskever, Kai Chen, Gregory S. Corrado, and Jeffrey Dean. Distributed representations of words and phrases and their compositionality. In NIPS, pages 3111--3119, 2013. Google Scholar Digital Library Galileo Namata, Ben London, Lise Getoor, Bert Huang, and UMD EDU. Querydriven active surveying for collective classification. In MLG, 2012. Google Scholar Maximilian Nickel, Kevin Murphy, Volker Tresp, and Evgeniy Gabrilovich. A review of relational machine learning for knowledge graphs. Proceedings of the IEEE, 104. Google Scholar Mingdong Ou, Peng Cui, Jian Pei, Ziwei Zhang, and Wenwu Zhu. Asymmetric transitivity preserving graph embedding. In SIGKDD, pages 1105--1114, 2016. Google Scholar Digital Library Bryan Perozzi, Rami Al-Rfou, and Steven Skiena. Deepwalk: Online learning of social representations. In SIGKDD, pages 701--710, 2014. Google Scholar Digital Library Bryan Perozzi, Vivek Kulkarni, and Steven Skiena. Walklets: Multiscale graph embeddings for interpretable network classification. CoRR, 2016. Google Scholar Dragomir R. Radev, Hong Qi, HarrisWu, andWeiguo Fan. Evaluating web-based question answering systems. In LREC, 2002. Google Scholar Yutaka Sasaki. The truth of the f-measure. Teach Tutor Mater, 1:1--5, 2007. Google Scholar Michael Sejr Schlichtkrull, Thomas N. Kipf, Peter Bloem, Rianne van den Berg, Ivan Titov, and Max Welling. Modeling relational data with graph convolutional networks. In ESWC, pages 593--607, 2018. Google Scholar Chris Stark, Bobby-Joe Breitkreutz, Teresa Reguly, Lorrie Boucher, Ashton Breitkreutz, and Mike Tyers. Biogrid: A general repository for interaction datasets. Nucleic Acids Research, 34:535--539, 2006. Google Scholar Cross Ref Daixin Wang, Peng Cui, and Wenwu Zhu. Structural deep network embedding. In SIGKDD, pages 1225--1234, 2016. Google Scholar Digital Library Jaewon Yang and Jure Leskovec. Overlapping communities explain coreperiphery organization of networks. Proceedings of the IEEE, 102. Google Scholar
Browse All Return Change zoom level
Close modal New Citation Alert added!

Connect

Contact
Facebook
Twitter
Linkedin

Feedback
Bug Report

The ACM Digital Library is published by the Association for Computing Machinery. Copyright © 2023 ACM, Inc.
If you 'd like us to contact you regarding your feedback, please provide your contact details here.
Representation learning on graphs, also called graph embedding, has demonstrated its significant impact on a series of machine learning applications such as classification, prediction and recommendation. However, existing work has largely ignored the rich information contained in the properties (or attributes) of both nodes and edges of graphs in modern applications, e.g., those represented by property graphs. To date, most existing graph embedding methods either focus on plain graphs with only the graph topology, or consider properties on nodes only. We propose PGE, a graph representation learning framework that incorporates both node and edge properties into the graph embedding procedure. PGE uses node clustering to assign biases to differentiate neighbors of a node and leverages multiple data-driven matrices to aggregate the property information of neighbors sampled based on a biased strategy. PGE adopts the popular inductive model for neighborhood aggregation. We provide detailed analyses on the efficacy of our method and validate the performance of PGE by showing how PGE achieves better embedding results than the state-of-the-art graph embedding methods on benchmark applications such as node classification and link prediction over real-world datasets.
Check if you have access through your login credentials or your institution to get full access on this article.
Association for Computing Machinery
Request permissions about this article.
View this article in digital edition.
https://dl.acm.org/doi/10.1145/3292500.3330948
This alert has been successfully added and will be sent to:
You will be notified whenever a record that you have chosen has been cited.
To manage your alert preferences, click on the button below.
We use cookies to ensure that we give you the best experience on our website.

This home last sold for $874,888 on Sep 22, 2021.
Listing by Deirdre Folan • Keller Williams Rlty Landmark
Redfin checked: 2 minutes ago (Mar 9, 2023 at 1:52pm)
Bought with Deirdre Folan • Keller Williams Rlty Landmark
Property Type Single Family Residential
Edit home facts to improve accuracy.
+$54K since sold in 2021 • Last updated 03/09/2023 1:54 pm
Listing by Weichert Realtors Performance
Listing by C21/Sunny Gardens Realty Inc
28-23 Hobart St, Woodside, NY 11377
28-23 Hobart St, Woodside, NY 11377
23-18 Hoyt Ave, Long Island City, NY 11102
23-18 Hoyt Ave, Long Island City, NY 11102
Listing by C21/Sunny Gardens Realty Inc
Property information provided by OneKey when last listed in 2021. This data may not match public records . Learn more.
Home facts updated by county records on Feb 1, 2023 .
23-03 33 Rd has residential zoning. Permitted land uses for this property include single-family, multi-family, and commercial.
View estimated electricity costs and solar savings
Selling with Traditional Agent Selling with Redfin Agent
Get $13,940 More Selling Your Home with a Redfin Agent
School data is provided by GreatSchools , a nonprofit organization. Redfin recommends buyers and renters use GreatSchools information and ratings as a first step, and conduct their own investigation to determine their desired schools or school districts, including by contacting and visiting the schools themselves. Redfin does not endorse or guarantee this information. School service boundaries are intended to be used as a reference only; they may change and are not guaranteed to be accurate. To verify school enrollment eligibility, contact the school district directly.
Median Sale Price Median Sale Price # of Homes Sold Median Days on Market Single Family Homes All Home Types Single Family Homes Townhouses Condos/Co-ops
Based on Redfin calculations of home data from MLS and/or public records.
Homes similar to 23-03 33 Rd are listed between $410K to $1M at an average of $755 per square foot.
21-06 35th St Unit C3, Astoria, NY 11105
21-06 35th St Unit C3, Astoria, NY 11105
Listing by Daniel Gale Sothebys Intl Rlty
Listing by Keystone Realty USA Corp
25-03 85 St, Jackson Heights, NY 11370
25-03 85 St, Jackson Heights, NY 11370
30-61 84th St, East Elmhurst, NY 11370
Listing by E Realty International Corp
30-61 84th St, East Elmhurst, NY 11370
21-18 37th St, Long Island City, NY 11105
21-18 37th St, Long Island City, NY 11105
Nearby homes similar to 23-03 33 Rd have recently sold between $1M to $1M at an average of $1,095 per square foot.
26-17 Ditmars Blvd, Astoria, NY 11105
26-17 Ditmars Blvd, Astoria, NY 11105
23-03 33 Rd is a 1,224 square foot house on a 1,692 square foot lot with 3 bedrooms and 1 bathroom. This home is currently off market - it last sold on September 22, 2021 for $874,888
How many photos are available for this home?
Redfin has 1 photos of 23-03 33 Rd.
Based on Redfin's Long Island City data, we estimate the home's value is $929,313
When was this home built and last sold?
23-03 33 Rd was built in 1945 and last sold on September 22, 2021 for $874,888.
What is the rental estimate for this home?
We estimate that 23-03 33 Rd would rent for between $2,949 and $3,543.
How competitive is the market for this home?
Based on Redfin's market data, we calculate that market competition in 11106, this home's neighborhood, is not-very competitive. Homes sell for about 4% below list price and go pending in around 72 days.
What comparable homes are near this home?
Comparable nearby homes include 23-17 33rd Rd , 56-11 28th Ave , and 39-17 49th St .
What’s the full address of this home?
The full address for this home is 2303 33rd Road, Astoria, New York 11106.
GreatSchools Ratings provided by GreatSchools.org .
Solid Brick Attached Colonial on a Great Block on Astoria! Very Clean and Needs Updating! Main Level presents LR, FDR, EIK, Door to Balcony/Terrace. 2nd Floor features 3 Bdrms, and 1 Full Bath. Walk In Level- Full Basement w/Family Room plus High Ceilings and Sep Entrance to Yard. 1 Car Garage plus Driveway. Very Convenient Location to Transportation and Shopping!
Redfin Estimate based on recent home sales.
Rental estimate based on recent rentals.
Most homes have some risk of natural disasters, and may be impacted by climate change due to rising temperatures and sea levels.
We’re working on getting current and accurate flood risk information.
We’re working on getting current and accurate fire risk information.
We’re working on getting current and accurate heat risk information.
Very High - 21 storms expected in 2050
Relatively Low - Water stress expected to be 1% in 2050
Climate risk data is provided for informational purposes only. If you have questions or feedback about this data, get help at riskfactor.com and climatecheck.com .
Copyright: © 2023 Redfin. All rights reserved.
Updated January 2023: By searching, you agree to the Terms of Use , and Privacy Policy .
REDFIN and all REDFIN variants, TITLE FORWARD, WALK SCORE, and the R logos, are trademarks of Redfin Corporation, registered or pending in the USPTO.
If you are using a screen reader, or having trouble reading this website, please call Redfin Customer Support for help at 1-844-759-7732 .
REDFIN IS COMMITTED TO AND ABIDES BY THE FAIR HOUSING ACT AND EQUAL OPPORTUNITY ACT. READ REDFIN'S FAIR HOUSING POLICY .

Доступ к информационному ресурсу ограничен на основании Федерального закона от 27 июля 2006 г. № 149-ФЗ «Об информации, информационных технологиях и о защите информации».

Центр притяжения в городе Видное 🤩 🛍 Магазины 🍔 Фуд-корт... More

405 Nachrichten
⋅
Der letzte Eintrag von Aleksandra Korotkowa 1. Jan. um 14:32

88 Nachrichten
⋅
Der letzte Eintrag von Polina Chitrych 8. Jun. 2022

85 Nachrichten
⋅
Der letzte Eintrag von ТРЦ Галерея 9-18 14. Apr. 2021

2000-е возвращаются
2,855 Aufrufe

"Рождественский разгуляй"
769 Aufrufe

Выступление джаз-бэнд #2
734 Aufrufe

Автомойка "Лайф 24" #3
637 Aufrufe

Выступление джаз-бэнд #1
790 Aufrufe

7. Mrz. um 14:49 · less than a minute to read
28. Feb. um 12:02 · less than a minute to read
22. Feb. um 10:35 · less than a minute to read
Фильмы всегда производят на нас впечатление! И не только интересным сюжетом или прекрасной актерской игрой, но и звучащей в них музыкой, которая также оставляет воспоминания о фильме ⠀ Ослепительное шоу Vitelia подарит вам самые известные саундтреки как из старых, так и из более современных фильмов! Музыка из Mehr anzeigen фильмов в эксклюзивной струнной обработкене напомнит вам ваши любимые кинокартины, и точно не оставит равнодушным никого! ⠀ Встречаемся 12 марта в 16:00 на -1 этаже в ТРЦ «Галерея 9-18» ⠀ ВХОД СВОБОДНЫЙ ⠀ #Галерея918 #видное
Встречайте премьеры недели в Кинотеатр «КИНОГРАД» Видное
ТРЦ «Галерея 9-18» искренне поздравляет всех представительниц прекрасного пола с 8 марта! ⠀ Вам пожелать хотелось бы многого, но самое важное — пусть рядом с вами всегда будут те, кто приносит радость. Пусть лучистые улыбки всегда украшают ваши прекрасные лица! Mehr anzeigen ⠀ С праздником, дорогие дамы! ⠀ #Галерея918 #видное
Дорогие посетители, совсем уже завтра наступит самый нежный и весенний праздник - Международный женский день Делимся с вами актуальным режимом работы нашего комплекса Термы Видное на эти дни Mehr anzeigen Ждём вас на нашем городском курорте @vidnoeterm Ежедневно с 8:00 до 24:00 г. Видное, ул. Олимпийская, 6, корп.1 ТРЦ "Галерея 9-18", вход на -1 этаж +7 (495) 225-42-08 +7-922-009-33-33 - сообщения whats app #Галерея918 #видное
Вы часто спрашиваете у нас, в каком детском магазине можно приобрести все необходимое для ребенка! ⠀ Ну конечно же - это Магазин “Kari kids”! ⠀ Большой выбор одежды, обуви, аксессуаров, игрушек и товаров для детей Mehr anzeigen ⠀ ТРЦ «Галерея 9-18», 3-й этаж ⠀ #Галерея918 #видное
8-е марта - Международный женский день ⠀ Для вас, дорогие девушки, женщины и девочки, выступит мужской дуэт Bellissimo Music ⠀ Самые известные хиты российской и зарубежной эстрады о женщинах Mehr anzeigen ⠀ Звуки трубы подарят страстные мелодии в необычном звучании, а вокалист исполнит самые излюбленные песни на различных языках ⠀ Встречаемся 8 марта в 16:00 на -1 этаже в ТРЦ «Галерея 9-18» ⠀ ВХОД СВОБОДНЫЙ ⠀ #Галерея918 #видное
Не Знаете, что подарить маме, бабушке, сестре или подруге на 8 марта?! ⠀ Лучшим решением станет подарочная карта Домаркет! ⠀ Она сэкономит Вам время на поиске подарка, а получатель сам сможет выбрать то, что ему нужно! Mehr anzeigen В наличии карты с праздничным дизайном номиналом 500, 1000, 2000, 3000 и 5000 рублей! ⠀ Дарите выбор! ⠀ ТРЦ «Галерея 9-18», -1-й этаж @domarket_ru ⠀ #галерея918 #видное
Напоминаем, что сегодня в 16:00 состоится развлекательное интерактивное цирковое шоу от клоуского дуэта ⠀ Жонглирование мячами, комические фокусы, китайские тарелочки, твистинг, танцевальные игры и конкурсы ⠀ Mehr anzeigen ВХОД СВОБОДНЫЙ ⠀ #Галерея918 #видное
Были! Очень понравилось!!! Они классные!!! Смеялись как дети
Людмила , спасибо за отзыв и за то, что посещаете наши мероприятия! Нам приятно, что Вам понравилось!
Салон «Мария» ⠀ Здесь вы можете заказать кухни с гарантией от 10 до 20 лет под любой размер, вкус и из любых материалов ⠀ Также доступны: Mehr anzeigen Шкафы-купе Гардеробные Встроенные шкафы Мебель для ванной Ковры для кухни Мягкая мебель Столовые группы ⠀ Фабрика существует уже 23 года и является лидером на рынке России ⠀ ТРЦ «Галерея 9-18», 2-й
Пьяных телок ебет один мужик
У ледибоя встал хуй
Выебал случайную девушку

Галерея 3330948

Report Page