Results for "multi-type nodes"

Graphical model expressing factorization of a probability distribution.

Neural networks that operate on graph-structured data by propagating information along edges.

Extension of convolution to graph domains using adjacency structure.

GNN using attention to weight neighbor contributions dynamically.

A branch of ML using multi-layer neural networks to learn hierarchical representations, often excelling in vision, speech, and language.

GNN framework where nodes iteratively exchange and aggregate messages from neighbors.

Graphs containing multiple node or edge types with different semantics.

Allows model to attend to information from different subspaces simultaneously.

A single attention mechanism within multi-head attention.

Agents optimize collective outcomes.

Combination of cooperation and competition.

Stepwise reasoning patterns that can improve multi-step tasks; often handled implicitly or summarized for safety/privacy.

Multiple agents interacting cooperatively or competitively.

Coordination arising without explicit programming.

Finding routes from start to goal.

Internal representation of environment layout.

Optimal pathfinding algorithm.

Agents copy others’ actions.

An RNN variant using gates to mitigate vanishing gradients and capture longer context.

Generates sequences one token at a time, conditioning on past tokens.

A high-capacity language model trained on massive corpora, exhibiting broad generalization and emergent behaviors.

Predicts masked tokens in a sequence, enabling bidirectional context; often used for embeddings rather than generation.

Attacks that manipulate model instructions (especially via retrieved content) to override system goals or exfiltrate data.

Early architecture using learned gates for skip connections.

A narrow hidden layer forcing compact representations.

Inferring sensitive features of training data.

Compromising AI systems via libraries, models, or datasets.

Probabilistic energy-based neural network with hidden variables.

Simplified Boltzmann Machine with bipartite structure.

Probabilistic graphical model for structured prediction.