Davide Bacciu
22 papers · 2018–2026 · 11 conferences · across top CS/AI conferences
Achievements
Jump to papers ↓+7 more ↓ Show less ↑
π Academic Marathon (7) π§ Keyword Pioneer π Interdisciplinary Bridge π Conference Polyglot (10) π£ Hot Topic Early Bird
π
Academic Marathon
(7)
π§
Keyword Pioneer
π£
Hot Topic Early Bird
ποΈ
Keyword Collector
(71)
π
Century Club
(21)
π₯
Unstoppable
(6)
β‘
Prolific Year
(6)
Conferences
ICLR (5)
ICML (5)
AAAI (2)
AISTATS (2)
IJCAI (2)
CLEAR (1)
COLING (1)
EACL (1)
JMLR (1)
NAACL (1)
UAI (1)
Top co-authors
Keywords
graph neural network
(5)
graph representation learning
(3)
graph classification
(3)
representation learning
(2)
bayesian nonparametrics
(1)
probabilistic modeling
(1)
continual learning
(1)
time series forecasting
(1)
feature learning
(1)
multilingual nlp
(1)
neural machine translation
(1)
information retrieval
(1)
graph representation
(1)
sequence classification
(1)
maximum likelihood
(1)
stability analysis
(1)
tensor decomposition
(1)
message passing
(1)
variational inference
(1)
catastrophic forgetting
(1)
Papers
JuriFindIT: an Italian legal retrieval dataset
EACL 2026
On Oversquashing in Graph Neural Networks Through the Lens of Dynamical Systems
AAAI 2025
Graph Adaptive Autoregressive Moving Average Models
ICML 2025
Port-Hamiltonian Architectural Bias for Long-Range Propagation in Deep Graph Networks
ICLR 2025
Self-generated Replay Memories for Continual Neural Machine Translation
NAACL 2024
Random Oscillators Network for Time Series Processing
AISTATS 2024
Constraint-Free Structure Learning with Smooth Acyclic Orientations
ICLR 2024
Temporal Graph ODEs for Irregularly-Sampled Time Series
IJCAI 2024
Long Range Propagation on Continuous-Time Dynamic Graphs
ICML 2024
Learning Causal Abstractions of Linear Structural Causal Models
UAI 2024
Generalizing Downsampling from Regular Data to Graphs
AAAI 2023
Causal Abstraction with Soft Interventions
CLEAR 2023
Anti-Symmetric DGN: a stable architecture for Deep Graph Networks
ICLR 2023
Dual Algorithmic Reasoning
ICLR 2023
Graph-based Polyphonic Multitrack Music Generation
IJCAI 2023
The Infinite Contextual Graph Markov Model
ICML 2022
Graph Mixture Density Networks
ICML 2021
A Fair Comparison of Graph Neural Networks for Graph Classification
ICLR 2020
Learning from Non-Binary Constituency Trees via Tensor Decomposition
COLING 2020
Probabilistic Learning on Graphs via Contextual Architectures
JMLR 2020
A Deep Generative Model for Fragment-Based Molecule Generation
AISTATS 2020
Contextual Graph Markov Model: A Deep and Generative Approach to Graph Processing
ICML 2018