Federico Errica
12 papers · 2017–2025 · 7 conferences · across top CS/AI conferences
Achievements
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π Academic Marathon (8) π§ Keyword Pioneer π Interdisciplinary Bridge π Conference Polyglot (7) π£ Hot Topic Early Bird
π
Renaissance Researcher
(5)
π
Conference Polyglot
(7)
π
Academic Marathon
(8)
π
Century Club
(12)
π₯
Unstoppable
(6)
β
The Questioner
Conferences
ICML (4)
ICLR (2)
NIPS (2)
IJCAI (1)
JMLR (1)
NAACL (1)
SEMEVAL (1)
Top co-authors
Keywords
graph representation learning
(3)
representation learning
(2)
graph classification
(2)
graph neural network
(2)
text classification
(1)
graph prediction
(1)
temporal reasoning
(1)
prompt engineering
(1)
maximum likelihood
(1)
machine learning
(1)
vertex classification
(1)
generative model
(1)
bayesian network
(1)
probabilistic model
(1)
mixture model
(1)
node classification
(1)
tabular datum
(1)
temporal knowledge graph
(1)
evaluation metric
(1)
conditional density estimation
(1)
Papers
What Did I Do Wrong? Quantifying LLMsβ Sensitivity and Consistency to Prompt Engineering
NAACL 2025
Adaptive Message Passing: A General Framework to Mitigate Oversmoothing, Oversquashing, and Underreaching
ICML 2025
Higher-Rank Irreducible Cartesian Tensors for Equivariant Message Passing
NIPS 2024
Tractable Probabilistic Graph Representation Learning with Graph-Induced Sum-Product Networks
ICLR 2024
History Repeats Itself: A Baseline for Temporal Knowledge Graph Forecasting
IJCAI 2024
On Class Distributions Induced by Nearest Neighbor Graphs for Node Classification of Tabular Data
NIPS 2023
The Infinite Contextual Graph Markov Model
ICML 2022
Graph Mixture Density Networks
ICML 2021
Probabilistic Learning on Graphs via Contextual Architectures
JMLR 2020
A Fair Comparison of Graph Neural Networks for Graph Classification
ICLR 2020
Contextual Graph Markov Model: A Deep and Generative Approach to Graph Processing
ICML 2018
FA3L at SemEval-2017 Task 3: A ThRee Embeddings Recurrent Neural Network for Question Answering
SEMEVAL 2017