![]() Finally, G-Meta scales to large graphs, which we demonstrate on a new Tree-of-Life dataset consisting of 1,840 graphs, a two-orders of magnitude increase in the number of graphs used in prior work. Unlike previous methods, G-Meta successfully learns in challenging, few-shot learning settings that require generalization to completely new graphs and never-before-seen labels. G-Meta excels at graph meta learningĮmpirically, experiments on seven datasets and nine baseline methods show that G-Meta outperforms existing methods by up to 16.3%. While previous works only excel at one of the graph meta learning problems for either node classification or link prediction tasks, G-Meta works for all of the three graph meta learning problems and both node and link prediction tasks. (4) Broadly applicable: G-Meta uses an individual subgraph for each data point and thus breaks the dependency across graphs and labels. In contrast, G-Meta simply extracts the small subgraphs around a few data points for every task, and is thus not restricted by any number of nodes, edges, and graphs. Previous works propagate through all of the graphs to generate embeddings for a few nodes, which is wasteful. ![]() But each task is only looking at a few data points scattered across graphs. (3) Scalable: In a typical graph meta learning setting, we have many graphs and each have large amounts of nodes and edges. This is in contrast to previous works where inductiveness means using the same weight generated from one single trained graph and applying it to a never-before-seen structurally different graph. (2) Inductive: As the input of GNN is a different subgraph for each propagation during meta-training, it can generalize to never-before-seen subgraphs, such as the ones in the meta-testing. Go beyond price to chart the fundamental levers that impact performance. (1) Theoretically justified: We show theoretically that the evidence for a prediction can be found in the local subgraph surrounding the target node or edge. Tell a Compelling Story Using Stunning Visuals. The firm’s ecosystem consists mainly of the Facebook app, Instagram, Messenger, WhatsApp, and many features. Users engage with each other in different ways, exchanging messages and sharing news events, photos, and videos. In contrast to the status quo that propagate messages through the entire graph, G-Meta uses local subgraphs to transfer subgraph-specific information and learn transferable knowledge faster via meta gradients. Meta is the world’s largest online social network, with 3.7 billion family of apps monthly active users. G-Meta is a meta learning algorithm that excels at all of the above meta learning problems. The main idea is to adapt to the graph or label set of interest by learning from related graphs or label sets. In this work, we first formulate three important but distinct graph meta learning problems. However, a systematic way to formulate meta learning problems on graph-structured data is missing. When data for a new task are scarce, meta learning can learn from prior experiences and form much-needed inductive biases for fast adaptation to new tasks. This presents a new challenge: how to make accurate predictions in the low-data regimes? Prevailing methods for graphs require abundant label and edge information for learning, yet many real-world graphs only have a few labels available. ![]() According to Meta, the "metaverse" refers to the integrated environment that links all of the company's products and services.G-Meta is broadly applicable, theoretically motivated, and scalable graph network framework for few-shot and meta learning. ![]() On October 28, 2021, the parent company of Facebook changed its name from Facebook, Inc., to Meta Platforms, Inc., to "reflect its focus on building the metaverse". In 2021, the company generated 97.5% of its revenue from the sale of advertising. It has acquired Oculus, Mapillary, CTRL-Labs, Kustomer, and has a 9.99% stake in Jio Platforms. Meta's products and services include Facebook, Instagram, WhatsApp, Messenger, and Meta Quest. It is considered one of the Big Five American information technology companies, alongside Alphabet, Amazon, Apple, and Microsoft. Meta is one of the world's most valuable companies and among the ten largest publicly traded corporations in the United States. The company owns Facebook, Instagram, and WhatsApp, among other products and services. Meta Platforms, Inc., doing business as Meta and formerly named Facebook, Inc., and TheFacebook, Inc., is an American multinational technology conglomerate based in Menlo Park, California.
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |