AI Factory Glossary

graph generation, graph neural networks

Generate new graphs.

graph isomorphism network (gin),graph isomorphism network,gin,graph neural networks

Most expressive message-passing GNN.

graph isomorphism testing, graph algorithms

Determine if graphs are identical.

graph kernel methods, graph algorithms

Measure graph similarity.

graph laplacian, graph neural networks

Operator encoding graph structure.

graph matching, graph algorithms

Align nodes between graphs.

graph neural network,gnn,node

GNNs operate on graph-structured data. Message passing between nodes. Social networks, molecules.

graph neural odes, graph neural networks

Apply Neural ODEs to graph-structured data.

graph neural operators,graph neural networks

Operators on graph-structured data.

graph of thoughts, prompting techniques

Graph of thoughts represents reasoning as directed graph enabling complex thought processes.

graph optimization, model optimization

Graph optimization transforms computation graphs improving efficiency through fusion reordering and elimination.

graph optimization, optimization

Optimize computation graph.

graph optimization,fusion,fold

Graph optimization simplifies computation graph. Constant folding, operator fusion, dead code elimination.

graph partitioning, graph algorithms

Divide graph into balanced parts.

graph pooling, graph neural networks

Downsample graphs in GNNs.

graph rag,rag

Use knowledge graphs to retrieve connected entities and relationships.

graph recurrence, graph neural networks

Graph recurrence applies RNNs to sequences of graph snapshots learning temporal graph dynamics.

graph retrieval, rag

Graph retrieval leverages knowledge graph structure for contextual information.

graph serialization, model optimization

Graph serialization stores model structure and parameters in portable format for deployment.

graph u-net, graph neural networks

Graph U-Net applies encoder-decoder architecture with skip connections to graphs for node classification.

graph unpooling, graph neural networks

Upsample graphs.

graph vae, graph neural networks

Variational autoencoder for graphs.

graph wavelets, graph neural networks

Wavelet transforms on graphs.

graph-based action recognition, video understanding

Model pose as graph over time.

graph-based parsing, structured prediction

Graph-based parsing scores all possible arcs and finds the maximum spanning tree for dependency structure prediction.

graph-based relational reasoning, graph neural networks

Use graph networks for relational tasks.

graphaf, graph neural networks

Graph Autoregressive Flow generates graphs by sequentially adding nodes and edges with normalizing flows.

graphene electronics, research

Use graphene for devices.

graphene tim, thermal management

Graphene-based thermal interface materials leverage high in-plane thermal conductivity for improved heat spreading.

graphgen, graph neural networks

Sequential graph generation.

graphnvp, graph neural networks

GraphNVP applies normalizing flows to graph generation enabling exact likelihood computation and efficient sampling of molecular structures.

graphql,query,flexible

GraphQL provides flexible queries. Client specifies fields. Efficient data fetching.

graphrnn, graph neural networks

GraphRNN generates graphs sequentially by modeling node and edge formation as a sequence generation problem using recurrent neural networks.

graphrnn, graph neural networks

RNN-based graph generation.

graphsage, graph neural networks

GraphSAGE generates node embeddings by sampling and aggregating features from local neighborhoods enabling inductive learning on unseen graphs.

graphsage,graph neural networks

Inductive GNN with sampling.

graphtransformer, graph neural networks

Graph Transformer applies full self-attention over graph nodes with positional encodings for structural information.

graphvae, graph neural networks

Graph Variational Autoencoder generates graphs by learning latent distributions over graph structures.

gray code, design & verification

Gray code changes only one bit between adjacent values preventing multi-bit transition errors.

grazing incidence saxs, gisaxs, metrology

Surface-sensitive nanostructure analysis.

grazing incidence x-ray diffraction (gixrd),grazing incidence x-ray diffraction,gixrd,metrology

Thin film crystal structure.

greedy decoding, text generation

Always pick most likely token.

greedy decoding,argmax,deterministic

Greedy decoding always picks highest probability token. Fast but can be repetitive. No exploration.

greedy decoding,inference

Always pick the most probable next token (deterministic but can be repetitive).

greedy,beam search,decoding

Greedy decoding picks the highest-prob token each step (deterministic). Beam search explores multiple candidates; sampling adds randomness for variety.

greek cross,metrology

Sheet resistance measurement pattern.

green chemistry, environmental & sustainability

Green chemistry principles minimize hazardous substances in semiconductor processes through alternative chemistries and process optimization.

green fab,facility

Environmentally friendly fab design and operations.

green solvents, environmental & sustainability

Green solvents replace hazardous organic solvents with safer alternatives like supercritical CO2 or water-based solutions.

grid search,exhaustive,tune

Grid search tries all combinations. Exhaustive but slow.