AMABWIRIZA Yibanze

Shushanya imiyoboro ya Neural

Imiyoboro ishushanya (GNNs) nicyitegererezo cyiga muburyo butaziguye amakuru yashushanyije - imitwe ihujwe nimpande - mukunyuza no gukusanya amakuru hagati yabaturanyi.

Incamake

Imiyoboro ishushanya (GNNs) nicyitegererezo cyiga muburyo butaziguye amakuru yashushanyije - imitwe ihujwe nimpande - mukunyuza no gukusanya amakuru hagati yabaturanyi. Bifite akamaro kuko ibyinshi mubyukuri bifatika bifitanye isano: imbuga nkoranyambaga, molekile, amakarita yumuhanda, hamwe na sisitemu yo gutanga ibyifuzo byose ni ibishushanyo mbonera hamwe na gahunda bidashobora guhagararirwa bisanzwe.

Igishushanyo cya Neural Networks yicaye mubikoresho bya AI. Iyo ubisobanukiwe, izindi ngingo za AI zoroha gusuzuma no kugereranya.

Kwibira cyane

GNN ikora binyuze mubutumwa butambuka. Buri pfundo ritangirana nibiranga vector, kandi muri buri cyiciro buri node ikusanya ubutumwa buva mubaturanyi bayo, ikabateranya hamwe na permis-invariant imikorere nkumubare, bivuze, cyangwa max, kandi ikavugurura ibyayo. Gutondekanya L bireka amakuru akwirakwiza L hops ku gishushanyo, bityo umusozo wanyuma ugaragaza umuturanyi mugari, ntabwo bihuza gusa. Ibihinduka bitandukanye muburyo byegeranya: Graph Convolutional Networks ikoresha umuturanyi usanzwe ugereranije, GraphSAGE ntangarugero kandi igateranya umubare uteganijwe wabaturanyi kugirango bapime, kandi Graph Attention Networks yiga uburemere kuburyo node yitabira cyane kubaturanyi bakomeye. Kwiga node, inkombe, cyangwa igishushanyo-cyuzuye cyo gushushanya noneho kugaburira ibyiciro, gusubira inyuma, cyangwa guhuza-guhanura imitwe.

Ubushishozi

Ibisobanuro byumutungo ni permis invariance: igishushanyo ntigishobora gutondekanya node, bityo intambwe yo guteranya igomba gutanga umusaruro umwe utitaye kuburyo abaturanyi bashyizwe kurutonde - niyo mpamvu umubare, bivuze, cyangwa max aho kuba ibikorwa bihamye. Intambamyi izwi ni ukurenza urugero: shyira ubutumwa bwinshi-butambutsa ubutumwa kandi buri kintu cyinjiza gihuza agaciro kamwe, kwoza itandukaniro ryingirakamaro. Ibi bifata ubujyakuzimu bufatika kandi butera guhuza ibisigisigi nibisanzwe.

Kumenya Igishushanyo mbonera

Imiyoboro ishushanya (GNNs) nicyitegererezo cyiga muburyo butaziguye amakuru yashushanyije - imitwe ihujwe nimpande - mukunyuza no gukusanya amakuru hagati yabaturanyi. Bifite akamaro kuko ibyinshi mubyukuri bifatika bifitanye isano: imbuga nkoranyambaga, molekile, amakarita yumuhanda, hamwe na sisitemu yo gutanga ibyifuzo byose ni ibishushanyo mbonera hamwe na gahunda bidashobora guhagararirwa bisanzwe. Igishushanyo cya Neural Networks yicaye mubikoresho bya AI. Iyo ubisobanukiwe, izindi ngingo za AI zoroha gusuzuma no kugereranya. Kugirango wubake byimbitse, fata Graph Neural Networks nkicyitegererezo gikora, ntabwo ari ikintu kimwe: gusobanura ibyagezweho, gusobanura ibitekerezo, no gutandukanya ibyo sisitemu ishobora gukora byizewe nibisaba guca imanza zinzobere.

Mubimenyerezo, amakipe akomeye akoresha Graph Neural Networks yubaka icyitegererezo gikomeye cyambere, hanyuma ushushanye izo moderi kubibuza umusaruro. Bandika ibipimo ngenderwaho byerekana intsinzi, bagerageza kurwanya amakuru afatika hamwe nakazi keza, kandi bagasubiramo bashingiye kubikorwa byagaragaye ko batsinzwe aho gutsinda inshuro imwe. Aha niho imyumvire yubumenyi ihinduka mubushobozi burambye kubicuruzwa, politiki, nibikorwa.

Iragufasha gutandukanya ibyifuzo bya tekiniki bisobanutse nururimi rwo kwamamaza. Igihe kimwe, Amakipe atandukanye arashobora gukoresha ijambo rimwe muburyo butandukanye, sobanura intera hakiri kare. Uburyo bukomeye cyane ni uguhuza umuvuduko wikigereranyo hamwe na disipuline yimiyoborere: kuyobora abaderevu, gufata ibimenyetso, gutangaza ibyemezo byicyemezo, no gukomeza kuvugurura uburyo bwo kwirinda nkimyitwarire yicyitegererezo, ibyo abakoresha bategereje, nibisabwa n'amategeko bigenda bihinduka.

Ingaruka z'Ingamba

Iragufasha gutandukanya ibyifuzo bya tekiniki bisobanutse nururimi rwo kwamamaza.

Iragufasha gutandukanya ibyifuzo bya tekiniki bisobanutse nururimi rwo kwamamaza. Mubikorwa byujuje ubuziranenge, ibi bihindurwa mumategeko agenga imikorere, imipaka nyirubwite, hamwe n'imihango yo gusubiramo kenshi kugirango amakipe ashobore kwigirira ikizere aho gupima ibidasobanutse.

Urashobora kubaza ibibazo byiza byo gushyira mubikorwa mbere yo gukoresha amafaranga cyangwa igihe.

Urashobora kubaza ibibazo byiza byo gushyira mubikorwa mbere yo gukoresha amafaranga cyangwa igihe. Mubikorwa byujuje ubuziranenge, ibi bihindurwa mumategeko agenga imikorere, imipaka nyirubwite, hamwe n'imihango yo gusubiramo kenshi kugirango amakipe ashobore kwigirira ikizere aho gupima ibidasobanutse.

Amakipe afite imyumvire isangiwe akora ibicuruzwa byiza, politiki, nibyemezo byo kwiga.

Amakipe afite imyumvire isangiwe akora ibicuruzwa byiza, politiki, nibyemezo byo kwiga. Mubikorwa byujuje ubuziranenge, ibi bihindurwa mumategeko agenga imikorere, imipaka nyirubwite, hamwe n'imihango yo gusubiramo kenshi kugirango amakipe ashobore kwigirira ikizere aho gupima ibidasobanutse.

Kazoza ka Graph Neural Networks

GNNs ningenzi muri siyansi yubumenyi. GNoME ya DeepMind yabakoresheje mu guhanura amamiriyoni mashya yuburyo bushya bwa kirisiti, kandi imiterere yikirere nka GraphCast igereranya isi nkigishushanyo cyo guhanura byihuse kuruta abigana fiziki. Ubushakashatsi burimo guhangana nubunini bugera kuri miliyari-shusho, imiyoboro yimbitse irwanya koroshya cyane, nubusabane hagati ya GNN na Transformers (byibanze cyane kubishushanyo bihujwe). Tegereza kwishyira hamwe hamwe nicyitegererezo cyibanze no gukoresha ikoreshwa mubuvumbuzi bwibiyobyabwenge nibikoresho bya siyansi.

Gushyira mu bikorwa Isi

Guteganya imiterere ya molekuline nuburozi mubuvumbuzi bwibiyobyabwenge ukoresheje atome nkumutwe nububiko bwimiti nkimpande.

Guha imbaraga ibyifuzo kumasosiyete nka Pinterest, aho PinSage yiga gushira hejuru yishusho yibintu no guhuza abakoresha.

Kumenya uburiganya no kunyereza amafaranga mugushakisha uburyo buteye inkeke mubishushanyo mbonera hagati ya konti.

Iteganyagihe ikirere n’umuhanda, nko muri GraphCast na moderi-yumuhanda werekana aho uhurira.

Uburyo bwo Gushyira mu bikorwa

Shushanya Neural Networks mubikorwa

Guteganya imiterere ya molekuline nuburozi mubuvumbuzi bwibiyobyabwenge ukoresheje atome nkumutwe nububiko bwimiti nkimpande.

Guteganya imiterere ya molekuline nuburozi mubuvumbuzi bwibiyobyabwenge ufata atome nkumutwe nububiko bwa chimique nkimpande Amakipe akunze kubona umusaruro mwiza mugihe asobanura ibipimo byimbere imbere, agakomeza inzira yo kuzamuka kwabantu kubibazo byimbitse, kandi agakurikirana inyungu zibyara umusaruro nibiciro byamakosa mugihe runaka.

Shushanya Neural Networks mubikorwa

Guha imbaraga ibyifuzo kumasosiyete nka Pinterest, aho PinSage yiga gushira hejuru yishusho yibintu no guhuza abakoresha.

Guha imbaraga ibyifuzo mubigo nka Pinterest, aho PinSage yiga gushira hejuru yishusho yibintu hamwe n’imikoreshereze y’abakoresha Amakipe akunze kubona ibisubizo byiza iyo asobanuye ibipimo ngenderwaho byimbere, agakomeza inzira yo kuzamura abantu kubibazo, kandi akurikirana inyungu zibyara umusaruro hamwe nibiciro byamakosa mugihe runaka.

Shushanya Neural Networks mubikorwa

Kumenya uburiganya no kunyereza amafaranga mugushakisha uburyo buteye inkeke mubishushanyo mbonera hagati ya konti.

Gutahura uburiganya no kunyereza amafaranga mugushakisha uburyo buteye amakenga mubishushanyo mbonera hagati yamakonte Amakipe akunze kubona umusaruro ushimishije mugihe asobanuye ibipimo ngenderwaho byimbere, agakomeza inzira yo kuzamura abantu kubibazo byimanza, kandi akurikirana inyungu zibyara umusaruro nibiciro byamakosa mugihe runaka.

Shushanya Neural Networks mubikorwa

Iteganyagihe ikirere n’umuhanda, nko muri GraphCast na moderi-yumuhanda werekana aho uhurira.

Iteganyagihe ikirere n’umuhanda, nko muri GraphCast hamwe nu muyoboro w’umuhanda ugereranya ahantu nkaho ihuriro Amakipe akunze kubona ibisubizo byiza iyo asobanuye ibipimo ngenderwaho byimbere, agakomeza inzira yo kuzamura abantu kubibazo, kandi akurikirana inyungu zibyara umusaruro hamwe nibiciro byamakosa mugihe runaka.

Ingaruka & Kurinda

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Amakipe atandukanye arashobora gukoresha ijambo rimwe muburyo butandukanye, sobanura intera hakiri kare.

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Ibipimo birashobora kugaragara bikomeye mugihe imikorere-yisi-itaringaniye.

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Kwirengagiza ubuziranenge bwamakuru na gahunda yo gusuzuma akenshi bitanga ibisubizo byoroshye.

Igishushanyo mbonera

1

Tangira nururimi rusobanutse rwibisubizo ukeneye.

Tangira nururimi rusobanutse rwibisubizo ukeneye. Fata buri ntambwe nk irembo ryibimenyetso: niba ibipimo bitujujwe, hagarika kuzenguruka, funga icyuho, hanyuma noneho wagure imikoreshereze.

2

Toranya intsinzi imwe hamwe nuburyo bumwe bwo gutsindwa mbere yo kwipimisha.

Toranya intsinzi imwe hamwe nuburyo bumwe bwo gutsindwa mbere yo kwipimisha. Fata buri ntambwe nk irembo ryibimenyetso: niba ibipimo bitujujwe, hagarika kuzenguruka, funga icyuho, hanyuma noneho wagure imikoreshereze.

3

Koresha umuderevu muto hamwe namakuru ahagarariye, ntabwo ari demo yashizweho.

Koresha umuderevu muto hamwe namakuru ahagarariye, ntabwo ari demo yashizweho. Fata buri ntambwe nk irembo ryibimenyetso: niba ibipimo bitujujwe, hagarika kuzenguruka, funga icyuho, hanyuma noneho wagure imikoreshereze.

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Inyandiko aho Graph Neural Networks ifasha nuburyo bworoshye bworoshye.

Inyandiko aho Graph Neural Networks ifasha nuburyo bworoshye bworoshye. Fata buri ntambwe nk irembo ryibimenyetso: niba ibipimo bitujujwe, hagarika kuzenguruka, funga icyuho, hanyuma noneho wagure imikoreshereze.

Komeza Ubushakashatsi