Tian Xia

11 papers A* 6A 1B 3Journal 1
YearRankTypeTitle / Venue / Authors
2025 A* conf
GotenNet: Rethinking Efficient 3D Equivariant Graph Neural Networks.
ICLR
Sarp Aykent, Tian Xia
2024 B conf
SE(3) Equivariant Neural Network for 3D Graphs.
IEEE Big Data
Sarp Aykent, Tian Xia
2024 B conf
SO(3) Equivariant Framework for Spatial Networks.
IEEE Big Data
Tian Xia, Sarp Aykent
2023 A* conf
Constrained Market Share Maximization by Signal-Guided Optimization.
AAAI
Bo Hui, Yuchen Fang, Tian Xia, Sarp Aykent, Wei-Shinn Ku
2023 A conf
Extrinsic-Intrinsic Representation Learning Framework for Drug Discovery.
SDM
Tian Xia, Sarp Aykent, Wei-Shinn Ku
2023 A* conf
SaVeNet: A Scalable Vector Network for Enhanced Molecular Representation Learning.
NeurIPS
Sarp Aykent, Tian Xia
2022 A* conf
A Localized Geometric Method to Match Knowledge in Low-dimensional Hyperbolic Space.
EMNLP
Bo Hui, Tian Xia, Wei-Shinn Ku
2022 B conf
APIP: Attention-based Protein Representation Learning for Protein-Ligand Interface Prediction.
IEEE Big Data
Tian Xia, Bo Hui, Wei-Shinn Ku
2022 A* conf
GBPNet: Universal Geometric Representation Learning on Protein Structures.
KDD
Sarp Aykent, Tian Xia
2021 A* conf
Geometric Graph Representation Learning on Protein Structure Prediction.
KDD
Tian Xia, Wei-Shinn Ku
2020 J jnl
Deep Multi-attribute Graph Representation Learning on Protein Structures.
CoRR
Tian Xia, Wei-Shinn Ku