Facebook continues to pull back the curtain on some of the technical details behind its search products, this time with a new look at the Social Graph. See also: Understanding Unicorn: A deep dive ...
The MLPerf Training GNN benchmark is used for a node classification task where the goal is to predict a label for each node in a graph. The benchmark uses an R-GAT model and is trained on the 2.2 ...
REDWOOD CITY, Calif., Aug. 14, 2019 (GLOBE NEWSWIRE) -- TigerGraph, the only scalable graph database for the enterprise, today announced the results of a comprehensive graph data management study by ...
MOUNTAIN VIEW, Calif., April 15, 2025 (GLOBE NEWSWIRE) -- Aerospike, Inc. today announced it has been named Graph DBS Solution of the Year in the annual Data Breakthrough Awards program. This marks ...
TigerGraph has released a new benchmark report for its graph analytics software. The company used the Data Benchmark Council (LDBC) Social Network Benchmark (SNB) Scale Factor 30k dataset. The results ...
Enterprises in many industries have struggled with numerous graph-related challenges as they work to unlock real value from connected data. These challenges include an inability to support large data ...
SAN FRANCISCO--(BUSINESS WIRE)--Today, MLCommons ® announced new results for the MLPerf ® Training v4.0 benchmark suite, including first-time results for two benchmarks: LoRA fine-tuning of LLama 2 ...
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