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GitHub - CogitatorTech/onager: A DuckDB extension for graph data analytics
manboubird 2026/01/17
duckdb

graphMining

sql

onager
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ã‚ªãƒ¼ãƒˆãƒ¢ãƒ¼ãƒ†ã‚£ãƒ–ã®å¤§è¦æ¨¡ãƒ‡ãƒ¼ã‚¿å‡¦ç†ã‚’æ”¯ãˆã‚‹æŠ€è¡“ å¾Œç·¨: å¤§è¦æ¨¡åœ°å›³ãƒ‡ãƒ¼ã‚¿æ§‹é€ ã®æœ€é©åŒ– | BLOG - DeNA Engineering
ã¯ã˜ã‚ã« ã“ã‚“ã«ã¡ã¯ã€‚ã‚·ã‚¹ãƒ†ãƒ æœ¬éƒ¨ åˆ†æžæŽ¨é€²éƒ¨ã®é´¨å¿—ç”°è‰¯å’Œã§ã™ã€‚ [DeNA TechCon 2020] ( https://techcon.dena.com/2020/ ) ã«ã¦ç™ºè¡¨ã™ã‚‹äºˆå®šã ã£ãŸå†…å®¹ã‚’Blogè¨˜äº‹ã¨ã—ã¦ãŠå±Šã‘ã—ã¾ã™ã€‚ ä»Šå›žã¯ã€Œã‚ªãƒ¼ãƒˆãƒ¢ãƒ¼ãƒ†ã‚£ãƒ–ã®å¤§è¦æ¨¡ãƒ‡ãƒ¼ã‚¿å‡¦ç†ã‚’æ”¯ãˆã‚‹æŠ€è¡“ã€ã¨é¡Œã—ã¦ã€å‰å¾Œç·¨ã§ãŠé€ã‚Šã—ã¾ã™ã€‚ (å‰ç·¨ã¯ ã“ã¡ã‚‰ ) å¾Œç·¨ã¨ãªã‚‹æœ¬ç¨¿ã§ã¯ã€ ãƒžãƒƒãƒ—ãƒžãƒƒãƒå‡¦ç†ã§ä½¿ç”¨ã•ã‚Œã‚‹ã€å¤§è¦æ¨¡ãªåœ°å›³ãƒ‡ãƒ¼ã‚¿ã‚’åŠ¹çŽ‡ã‚ˆãæ ¼ç´ã—ã¦ æ‰±ã†ãŸã‚ã®å·¥å¤«ã«ã¤ã„ã¦ã”ç´¹ä»‹ã—ã¾ã™ã€‚ å¤§è¦æ¨¡åœ°å›³ãƒ‡ãƒ¼ã‚¿ã‚’æ‰±ã†ä¸Šã§ã®å•é¡Œ ãƒžãƒƒãƒ—ãƒžãƒƒãƒå‡¦ç†(ç”Ÿã®GPSãƒ‡ãƒ¼ã‚¿ã®èª¤å·®ã‚’è£œæ£ã—ã¦é“è·¯ä¸Šã®ä½ç½®ã‚’æŽ¨å®šã—ã€çµŒè·¯æƒ…å ±ã‚’å¾—ã‚‹å‡¦ç†) ã«ãŠã„ã¦ã¯ã€ é“è·¯åŒå£«ã®ä½ç½®ã‚„æŽ¥ç¶šé–¢ä¿‚ã‚’ã‚°ãƒ©ãƒ•æ§‹é€ ã®ãƒ‡ãƒ¼ã‚¿ã¨ã—ã¦æ ¼ç´ã—ãŸåœ°å›³ãƒ‡ãƒ¼ã‚¿ (ä»¥ä¸‹ã€ã€Œé“è·¯ãƒãƒƒãƒˆãƒ¯ãƒ¼ã‚¯ã€ã¨å‘¼ã³ã¾ã™)ãŒã‚ã‚‰ã‚†ã‚‹æ®µéšŽã§åˆ©ç”¨ã•ã‚Œã¾ã™ã€‚ æ—¥æœ¬å…¨å›½ã®åœ°å›³ã®ã‚ˆã†ã«ã€ æ‰±ã†ãƒ‡ãƒ¼ã‚¿ã®
manboubird 2025/06/07
goInc

geo

map

networkx

graphMining

cPickle

python

serde
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Building Knowledge Graphs with Apache AGE
manboubird 2025/06/04
apacheAge

graphMining

knowledgeGraph
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https://dl.acm.org/doi/abs/10.1145/3459637.3481916
manboubird 2025/04/29
googleMap

paper

graphMining

google

cikm
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ãƒ©ãƒ™ãƒ«ä¼æ’ã‚¢ãƒ«ã‚´ãƒªã‚ºãƒ - Platform For AI - Alibaba Cloud ãƒ‰ã‚ãƒ¥ãƒ¡ãƒ³ãƒˆã‚»ãƒ³ã‚¿ãƒ¼
ãƒ©ãƒ™ãƒ«ä¼æ’ã‚¢ãƒ«ã‚´ãƒªã‚ºãƒ (LPA) ã¯ã€åŠæ•™å¸«ä»˜ãæ©Ÿæ¢°å¦ç¿’ã‚¢ãƒ«ã‚´ãƒªã‚ºãƒ ã§ã‚ã‚‹ã€‚ é ‚ç‚¹ã®ãƒ©ãƒ™ãƒ« (ã‚³ãƒŸãƒ¥ãƒ‹ãƒ†ã‚£) ã¯ã€éš£æŽ¥ã™ã‚‹é ‚ç‚¹ã®ãƒ©ãƒ™ãƒ«ã«ä¾å˜ã—ã¾ã™ã€‚ ä¾å˜åº¦ã¯ã€é ‚ç‚¹é–“ã®é¡žä¼¼æ€§ã«ã‚ˆã£ã¦æ±ºå®šã•ã‚Œã‚‹ã€‚ ãƒ‡ãƒ¼ã‚¿ã¯ã€åå¾©ä¼æ¬æ›´æ–°ã‚’å®Ÿè¡Œã™ã‚‹ã“ã¨ã«ã‚ˆã£ã¦å®‰å®šã™ã‚‹ã€‚ Label Propagation Clusteringã‚³ãƒ³ãƒãƒ¼ãƒãƒ³ãƒˆã¯ã€ã‚°ãƒ©ãƒ•å†…ã®ã™ã¹ã¦ã®é ‚ç‚¹ã®åŽæŸå¾Œã«å„é ‚ç‚¹ã®ã‚°ãƒ«ãƒ¼ãƒ—ã‚’æä¾›ã§ãã¾ã™ã€‚ ã‚¢ãƒ«ã‚´ãƒªã‚ºãƒ ã®èª¬æ˜Žã‚°ãƒ©ãƒ•ã‚¯ãƒ©ã‚¹ã‚¿ãƒªãƒ³ã‚°ã¯ã€ã‚°ãƒ©ãƒ•ã®ãƒˆãƒãƒã‚¸ã«åŸºã¥ã„ã¦ã‚°ãƒ©ãƒ•ã‚’ã‚µãƒ–ã‚°ãƒ©ãƒ•ã«åˆ†å‰²ã™ã‚‹ãŸã‚ã«ä½¿ç”¨ã•ã‚Œã¾ã™ã€‚ ã—ãŸãŒã£ã¦ã€ã‚µãƒ–ã‚°ãƒ©ãƒ•å†…ã®é ‚ç‚¹é–“ã®ãƒªãƒ³ã‚¯ã¯ã€ã‚µãƒ–ã‚°ãƒ©ãƒ•é–“ã®ãƒªãƒ³ã‚¯ã‚ˆã‚Šã‚‚å¤šããªã‚Šã¾ã™ã€‚ ã“ã®ã‚¢ãƒ«ã‚´ãƒªã‚ºãƒ ã¯ã€ä¸€æ„ã®ãƒ©ãƒ™ãƒ«ã‚’ä½¿ç”¨ã—ã¦å„é ‚ç‚¹ã‚’åˆæœŸåŒ–ã—ã€é ‚ç‚¹ã‚’åå¾©ã—ã€ã‚³ãƒŸãƒ¥ãƒ‹ãƒ†ã‚£å†…ã®éš£æŽ¥ã™ã‚‹é ‚ç‚¹ã®ä¸ã§æœ€ã‚‚é »ç¹ã«ç¾ã‚Œã‚‹ãƒ©ãƒ™ãƒ«ã‚’é ‚ç‚¹ã«å‰²ã‚Šå½“ã¦ã¾ã™ã€‚ ã‚¢ãƒ«ã‚´ãƒªã‚ºãƒ ã¯ã€å„é ‚ç‚¹ãŒãã®éš£æŽ¥ã™ã‚‹é ‚ç‚¹ã®ä¸ã§æœ€
manboubird 2025/04/29
labelPropagation

sns

algorithm

communityIdentification

clustering

graphMining
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ã‚°ãƒ©ãƒ•ã‚¢ãƒ«ã‚´ãƒªã‚ºãƒ å®Ÿè·µæ´»ç”¨è¡“
æƒ…å ±ã‚ªãƒªãƒ³ãƒ”ãƒƒã‚¯å¤å£ã‚»ãƒŸãƒŠãƒ¼ 2023: https://jcioi-summer-seminar-2023.peatix.com/ ã§ã®è¬›æ¼”ã‚¹ãƒ©ã‚¤ãƒ‰ã§ã™ã€‚ è¬›ç¾©æ¦‚è¦: ã‚¢ãƒ«ã‚´ãƒªã‚ºãƒ ã‚’å‹‰å¼·ã—ã¦ã„ã‚‹ã¨ï¼Œã‚°ãƒ©ãƒ•ã‚¢ãƒ«ã‚´ãƒªã‚ºãƒ ã«ãŸãã•ã‚“å‡ºä¼šã„ã¾ã™ï¼Žã—ã‹ã—ï¼Œã‚°ãƒ©ãƒ•ã‚¢ãƒ«ã‚´ãƒªã‚ºãƒ ãŒç¾å®Ÿä¸–ç•Œã§ã©ã®ã‚ˆã†ã«æ´»èºã—ã¦ã„â€¦
manboubird 2023/08/21
graphMining

slide

algorithm
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Graph Theory
manboubird 2022/08/20
graphMining

graphTheory

book
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ãƒ©ãƒ™ãƒ«ä¼æ’æ³•ãƒ»æ‹¡æ•£æ³•ã«ã‚ˆã‚‹åŠæ•™å¸«ã‚ã‚Šå¦ç¿’ã§å°‘é‡ã®ãƒ©ãƒ™ãƒ«ä»˜ããƒ‡ãƒ¼ã‚¿ã‹ã‚‰åˆ†é¡žãƒ¢ãƒ‡ãƒ«ã‚’ä½œã‚‹ - Qiita
ã¯ã˜ã‚ã« ã“ã‚“ã«ã¡ã¯ï¼Œ(æ ª)æ—¥ç«‹è£½ä½œæ‰€ ç ”ç©¶é–‹ç™ºã‚°ãƒ«ãƒ¼ãƒ— ã‚µãƒ¼ãƒ“ã‚¹ã‚³ãƒ³ãƒ”ãƒ¥ãƒ¼ãƒ†ã‚£ãƒ³ã‚°ç ”ç©¶éƒ¨ã®éœ²æœ¨ã§ã™ã€‚ æ©Ÿæ¢°å¦ç¿’ã§ä¸€èˆ¬çš„ãªæ•™å¸«ã‚ã‚Šå¦ç¿’ã®å•é¡Œã¨ã—ã¦ï¼Œæ£è§£ãƒ©ãƒ™ãƒ«ã®ä»˜ã„ã¦ã„ã‚‹ãƒ‡ãƒ¼ã‚¿ã‚’å¤§é‡ã«æº–å‚™ã—ãªã‘ã‚Œã°ãªã‚‰ãªã„ã“ã¨ãŒæŒ™ã’ã‚‰ã‚Œã¾ã™ã€‚ã“ã®å•é¡Œã‚’è§£æ±ºã™ã‚‹ãŸã‚ã«ï¼Œãƒ©ãƒ™ãƒ«ãªã—ãƒ‡ãƒ¼ã‚¿ã‚’æ´»ç”¨ã™ã‚‹ã“ã¨ã§å¿…è¦ãªãƒ©ãƒ™ãƒ«ä»˜ããƒ‡ãƒ¼ã‚¿ã®æ•°ã‚’å‰Šæ¸›ã™ã‚‹åŠæ•™å¸«ã‚ã‚Šå¦ç¿’ã®åˆ†é‡ŽãŒã‚ã‚Šã¾ã™ã€‚ãã—ã¦ï¼ŒåŠæ•™å¸«ã‚ã‚Šå¦ç¿’ã®ä¸€ç¨®ã«ã‚°ãƒ©ãƒ•ãƒ™ãƒ¼ã‚¹ã®ãƒ©ãƒ™ãƒ«ä¼æ’æ³•ãŒã‚ã‚Šã¾ã™ã€‚ ãƒ©ãƒ™ãƒ«ä¼æ’æ³•ã¯ï¼Œã‚ã‚‹ãƒ‡ãƒ¼ã‚¿ã®ãƒ©ãƒ™ãƒ«ã‚’ãã®è¿‘å‚ã«ã‚ã‚‹ãƒ©ãƒ™ãƒ«ã®ãªã„ãƒ‡ãƒ¼ã‚¿ã«ã‚³ãƒ”ãƒ¼ã™ã‚‹ (ä¼æ’ã•ã›ã‚‹) ã“ã¨ã§ï¼Œå°‘é‡ã®ãƒ©ãƒ™ãƒ«ä»˜ããƒ‡ãƒ¼ã‚¿ã‹ã‚‰ãƒ¢ãƒ‡ãƒ«ã‚’å¦ç¿’ã—ã¾ã™ã€‚ã¾ãŸï¼Œã€Œã‚°ãƒ©ãƒ•ãƒ™ãƒ¼ã‚¹ã€ã¨å‘¼ã°ã‚Œã‚‹ç†ç”±ã¯ï¼Œã²ã¨ã¤ã²ã¨ã¤ã®ãƒ‡ãƒ¼ã‚¿ã‚’ãƒŽãƒ¼ãƒ‰ï¼Œãƒ‡ãƒ¼ã‚¿ã®é¡žä¼¼åº¦ã‚’ã‚¨ãƒƒã‚¸ (ã®é‡ã¿) ã¨ã—ãŸã‚°ãƒ©ãƒ•ã‚’æ§‹æˆã—ã¦ï¼Œã“ã®ã‚°ãƒ©ãƒ•ä¸Šã§ãƒ©ãƒ™ãƒ«ã‚’ä¼æ’ã™ã‚‹ã‹ã‚‰ã§ã™ã€‚ã“ã®ã¨ãï¼Œé¡žä¼¼åº¦ã®è¨ˆç®—ã«ã‚«ãƒ¼ãƒãƒ«æ³•ã‚’çµ„ã¿åˆã‚ã›ã‚‹ã“ã¨ã§éž
manboubird 2022/07/03
labelPropagation

graphMining

clustering
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Label propagationã¨Label spreading - ã§ã‹ã„ãƒãƒ¼ã‚ºã‚’ãƒ™ãƒ¼ã‚°ãƒ«ã™ã‚‹
ã‚°ãƒ©ãƒ•ãƒ™ãƒ¼ã‚¹åŠæ•™å¸«ã‚ã‚Šå¦ç¿’ (SSL) ã®Label propagation (LP) ã¨Label spreading (LS) ã®é•ã„ã‚’èª¬æ˜Žã—ã¦ã„ã‚‹æ–‡çŒ®ãŒã‚ã¾ã‚Šãªã‹ã£ãŸã®ã§ãã‚Œã«ã¤ã„ã¦ã¡ã‚‡ã£ã¨æ›¸ã„ã¦ã¿ã‚‹ã€‚SSLè‡ªä½“ã¨ã‹LPã€LSã«ã¤ã„ã¦ã¯ä»¥ä¸‹ã®è¨˜äº‹ã«ã¾ã¨ã‚ãŸæ–‡çŒ®ãŒã„ã„æ„Ÿã˜ãªã®ã§ãã¡ã‚‰ã‚’å‚ç…§ã€‚ åŠæ•™å¸«ã‚ã‚Šå¦ç¿’ã®ãƒ¢ãƒ‡ãƒ«ä»®å®š - ã§ã‹ã„ãƒãƒ¼ã‚ºã‚’ãƒ™ãƒ¼ã‚°ãƒ«ã™ã‚‹ LPã®å…ƒè«–æ–‡ã¯ã“ã‚Œ (PDF) "Semi-Supervised Learning Using Gaussian Fields and Harmonic Functions", ICML2003 LSã®å…ƒè«–æ–‡ã¯ã“ã‚Œ (PDF) "Learning with Local and Global Consistency", NIPS2003 ã¾ã¨ã‚ LPã¨LSã®è¶…æ¦‚è¦ã€ãƒ©ãƒ³ãƒ€ãƒ ã‚¦ã‚©ãƒ¼ã‚¯ã¨ã—ã¦ã®è§£é‡ˆã€æœ€é©åŒ–å•é¡Œã¨ã—ã¦ã®è§£é‡ˆã‚’æ›¸ã„ãŸ è»½ã„å®Ÿé¨“ã‚’ã—ãŸ
manboubird 2022/07/03
labelPropagation

graphMining

clustering
ãƒªãƒ³ã‚¯
Google Graph Mining and Learning @ NeurIPS 2020: Label Propagation -- Allan Heydon
manboubird 2022/07/03
Google Graph Mining and Learning @ NeurIPS 2020: Label Propagation -- Allan Heydon

labelPropagation

video

nips

google

graphMining

clustering
ãƒªãƒ³ã‚¯
Balanced Partitioning and Hierarchical Clustering at Scale
Philosophy We strive to create an environment conducive to many different types of research across many different time scales and levels of risk. Learn more about our Philosophy Learn more
manboubird 2022/07/03
clustering

algorithm

graphMining

paper

google
ãƒªãƒ³ã‚¯
Balanced Label Propagation for Partitioning Massive Graphs - Meta Research | Meta Research
Balanced Label Propagation for Partitioning Massive GraphsACM International Conference on Web Search and Data Mining (WSDM) Partitioning graphs at scale is a key challenge for any application that involves distributing a graph across disks, machines, or data centers. Graph partitioning is a very well studied probl em with a rich literature, but existing algorithms typically can not scale to billion
manboubird 2022/07/03
labelPropagation

clustering

wsdm

paper

graphMining
ãƒªãƒ³ã‚¯
ãƒˆãƒãƒã‚¸ã‚«ãƒ«ã‚½ãƒ¼ãƒˆ - Wikipedia
ãƒˆãƒãƒã‚¸ã‚«ãƒ«ã‚½ãƒ¼ãƒˆï¼ˆè‹±: topological sortï¼‰ã¯ã€ã‚°ãƒ©ãƒ•ç†è«–ã«ãŠã„ã¦ã€æœ‰å‘éžå·¡å›žã‚°ãƒ©ãƒ•ï¼ˆè‹±: directed acyclic graph, DAGï¼‰ã®å„ãƒŽãƒ¼ãƒ‰ã‚’é †åºä»˜ã‘ã—ã¦ã€ã©ã®ãƒŽãƒ¼ãƒ‰ã‚‚ãã®å‡ºåŠ›è¾ºã®å…ˆã®ãƒŽãƒ¼ãƒ‰ã‚ˆã‚Šå‰ã«ãã‚‹ã‚ˆã†ã«ä¸¦ã¹ã‚‹ã“ã¨ã§ã‚ã‚‹ã€‚æœ‰å‘éžå·¡å›žã‚°ãƒ©ãƒ•ã¯å¿…ãšãƒˆãƒãƒã‚¸ã‚«ãƒ«ã‚½ãƒ¼ãƒˆã™ã‚‹ã“ã¨ãŒã§ãã‚‹ã€‚ æœ‰å‘éžå·¡å›žã‚°ãƒ©ãƒ•ã®ãƒŽãƒ¼ãƒ‰ã®é›†åˆã«åˆ°é”å¯èƒ½æ€§é–¢ä¿‚ R (ãƒŽãƒ¼ãƒ‰ x ã‹ã‚‰ y ã¸ã®(å„è¾ºã®å‘ãã«é€†è¡Œã—ãªã„)çµŒè·¯ãŒå˜åœ¨ã™ã‚‹ã¨ãã€ã¾ãŸãã®ã¨ãã«é™ã‚Š xRy ã¨ã™ã‚‹)ã‚’å®šã‚ã‚‹ã¨ã€R ã¯åŠé †åºé–¢ä¿‚ã¨ãªã‚‹ã€‚ãƒˆãƒãƒã‚¸ã‚«ãƒ«ã‚½ãƒ¼ãƒˆã¨ã¯ã€ã“ã® R ã‚’å…¨é †åºã«ãªã‚‹ã‚ˆã†ã«æ‹¡å¼µã—ãŸã‚‚ã®ã¨ã¿ãªã›ã‚‹ã€‚ ãƒˆãƒãƒã‚¸ã‚«ãƒ«ã‚½ãƒ¼ãƒˆã®å…¸åž‹çš„ãªåˆ©ç”¨ä¾‹ã¯ã‚¸ãƒ§ãƒ–ã®ã‚¹ã‚±ã‚¸ãƒ¥ãƒ¼ãƒªãƒ³ã‚°ã§ã‚ã‚‹ã€‚ãƒˆãƒãƒã‚¸ã‚«ãƒ«ã‚½ãƒ¼ãƒˆã®ã‚¢ãƒ«ã‚´ãƒªã‚ºãƒ ã¯PERTã¨ã„ã†ãƒ—ãƒã‚¸ã‚§ã‚¯ãƒˆç®¡ç†æ‰‹æ³•[1]ã®ã‚¹ã‚±ã‚¸ãƒ¥ãƒ¼ãƒªãƒ³ã‚°ã®ãŸã‚ã«1960å¹´ä»£åˆé ã«ç ”ç©¶ãŒé–‹å§‹ã•ã‚ŒãŸ
manboubird 2022/03/12
algorithm

graphMining

dag

sorting

topologicalSort
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Neo4j ã¨ Google Cloud Vertex AI ã§ã‚ˆã‚Šã‚¹ãƒžãƒ¼ãƒˆãª AI å‘ã‘ã®ã‚°ãƒ©ãƒ•ã‚’ä½¿ç”¨ã™ã‚‹ | Google Cloud å…¬å¼ãƒ–ãƒã‚°
â€»ã“ã®æŠ•ç¨¿ã¯ç±³å›½æ™‚é–“ 2022 å¹´ 1 æœˆ 13 æ—¥ã«ã€Google Cloud blog ã«æŠ•ç¨¿ã•ã‚ŒãŸã‚‚ã®ã®æŠ„è¨³ã§ã™ã€‚ ã“ã®ãƒ–ãƒã‚°æŠ•ç¨¿ã§ã¯ã€ML é–‹ç™ºãƒ—ãƒ©ãƒƒãƒˆãƒ•ã‚©ãƒ¼ãƒ Google Cloud Vertex AI ã¨ã‚°ãƒ©ãƒ• ãƒ‡ãƒ¼ã‚¿ãƒ™ãƒ¼ã‚¹ Neo4j ã® 2 ã¤ã®ãƒ†ã‚¯ãƒŽãƒã‚¸ãƒ¼ã‚’ä¸€ç·’ã«ä½¿ç”¨ã™ã‚‹æ–¹æ³•ã«ã¤ã„ã¦èª¬æ˜Žã—ã¾ã™ã€‚ã“ã‚Œã‚‰ã®ãƒ†ã‚¯ãƒŽãƒã‚¸ãƒ¼ã‚’çµ„ã¿åˆã‚ã›ã¦ä½¿ç”¨ã™ã‚‹ã“ã¨ã§ã€ã‚°ãƒ©ãƒ•ãƒ™ãƒ¼ã‚¹ã®æ©Ÿæ¢°å¦ç¿’ãƒ¢ãƒ‡ãƒ«ã‚’æ§‹ç¯‰ã—ã€ãƒ‡ãƒ—ãƒã‚¤ã§ãã¾ã™ã€‚ ã“ã®ãƒ–ãƒã‚°æŠ•ç¨¿ã®åŸºç›¤ã¨ãªã‚‹ã‚³ãƒ¼ãƒ‰ã¯ã€ã“ã¡ã‚‰ã®ãƒŽãƒ¼ãƒˆãƒ–ãƒƒã‚¯ã§å‚ç…§ã§ãã¾ã™ã€‚ ãƒ‡ãƒ¼ã‚¿ ã‚µã‚¤ã‚¨ãƒ³ã‚¹ã«ã‚°ãƒ©ãƒ•ã‚’ä½¿ç”¨ã™ã‚‹ã¹ãç†ç”±ãƒ“ã‚¸ãƒã‚¹ä¸Šã®é‡å¤§ãªå•é¡Œã®å¤šãã§ã¯ã€ã‚°ãƒ©ãƒ•ã¨ã—ã¦è¡¨ç¾ã§ãã‚‹ãƒ‡ãƒ¼ã‚¿ãŒä½¿ç”¨ã•ã‚Œã¦ã„ã¾ã™ã€‚ã‚°ãƒ©ãƒ•ã¯ãƒ‡ãƒ¼ã‚¿æ§‹é€ ã§ã€ãƒ‡ãƒ¼ã‚¿ãã®ã‚‚ã®ã¨åŒæ§˜ã«ãƒ‡ãƒ¼ã‚¿ãƒã‚¤ãƒ³ãƒˆé–“ã®é–¢ä¿‚ã‚’è¨˜è¿°ã—ã¾ã™ã€‚ ç°¡å˜ã«è¨€ã†ã¨ã€ã‚°ãƒ©ãƒ•ã¯åè©žã¨å‹•è©žã®é–¢ä¿‚ã«ä¼¼ã¦ã„ã¾ã™ã€‚ãƒŽãƒ¼ãƒ‰ï¼ˆåè©žï¼‰ã¯äººã€…ã€å ´æ‰€ã€å“ç‰©ãªã©ã®ã€Œã‚‚
manboubird 2022/01/24
neo4j

googleCloudPlatform

graphMining

embeddings
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gql.today
Every minute, over 2 billion snaps are exchanged worldwide on Snapchat, making it one of the most active social messaging platforms. Behind those fleeting messages and stories lies a world of hidden conversations, private snaps, and extensive social connections. While Snapchatâ€™s design em phasizes privacy and temporary content, various monitoring solutions exist to track Snapchat activities. Every
manboubird 2022/01/18
gql

graphMining

query
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manboubird 2022/01/14
dataManagement

graphDatabase

graphMining

knowledgeGraph
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Introducing TensorFlow Graph Neural Networks
Posted by Sibon Li, Jan Pfeifer and Bryan Perozzi and Douglas Yarrington Today, we are excited to release TensorFlow Graph Neural Networks (GNNs), a library designed to make it easy to work with graph structured data using TensorFlow. We have used an earlier version of this library in production at Google in a variety of contexts (for example, spam and anomaly detection, traffic estimation, YouTub
manboubird 2021/11/21
tensorFlow

graphNeuralNetworks

graphMining

knowledgeGraph
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ä»¥ä¸‹ã‚¤ãƒ™ãƒ³ãƒˆã§ã®ç™»å£‡è³‡æ–™ 2019/03/07 Machine Learning Production Pitch #1 https://line.connpass.com/event/120518/
manboubird 2021/11/07
m3

slide

annotation

graphMining
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PyTorch-BigGraph: Faster embeddings of extremely large graphs
manboubird 2021/10/20
bigGraph

facebook

knowledgeGraph

graphMining
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GitHub - georgian-io-archive/Diffbot-Graph-Learning: Heterogenous Graph Representation learning on Diffbot's Knowledge Graph. Includes asynchronous BFS traversal on Diffbot's Knowledge Graph, Diffbot's enhance API to build custom graph dataset and models
manboubird 2021/10/14
diffbot

graphMining

knowledgeGraph
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